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<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><b>Responsibilities</b></p><p>Respond to and resolve customer inquiries, ensuring timely and accurate information.</p><p>Manage customer interactions for various shipments and ensure service excellence.</p><p>Follow up on requests, resolve complaints, and manage claims according to SOPs.</p><p>Collaborate with cross-functional teams to improve processes and enhance customer experience.</p><p>Assist with billing and reporting, ensuring accuracy and compliance.</p><p>Monitor KPIs and contribute to achieving performance targets.</p><p><b>Job Requirements</b></p><p>Bachelor’s degree in Business Administration, Logistics, or a related field.</p><p>Proven experience in customer service, ideally in e-commerce or logistics.</p><p>Strong communication skills, both written and verbal.</p><p>Ability to handle customer inquiries and complaints professionally and efficiently.</p><p>Familiarity with CRM systems and customer service tools.</p><p>Strong organizational and multitasking abilities.</p><p>A proactive mindset with a focus on process improvement and customer satisfaction.</p><p>Ability to work collaboratively with cross-functional teams.</p><p>Goal-oriented with the ability to monitor and improve performance based on KPIs.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><br></li></ul><p></p></section>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives.<br> Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.<br> We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems.<br> To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.<br> Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm.<br> If you do not have hands-on project experience at one of the firms listed below, please do not apply.<br> This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.<br> Eligible firms: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).<br> Who We’re Looking For Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in: Structuring ambiguous client problems into workable analytical plans Building financial models, market analyses, or synthesized findings from messy inputs Producing client-ready deliverables under time pressure Forming and defending recommendations under uncertainty No deep technical background is required — we will onboard you on the lightweight tools involved.<br> What You’ll Do Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.<br> Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.<br> Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.<br> This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.<br> Skills & Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy& Strong structured problem-solving and hypothesis-driven thinking Ability to translate vague problems into clear analytical steps and deliverables High attention to logical consistency and output quality Independent, self-directed working style Clear written English (B2+) Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
<p><h4>Description</h4>
<p>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.</p>
<p>Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.</p>
<p>We are launching a management consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.</p>
<p>You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.</p>
<p><strong>Important:</strong> This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.</p>
<p><strong>Eligible firms:</strong> McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).</p>
<h4>Who we’re looking for</h4>
<p>Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:</p>
<ul>
<li>Structuring ambiguous client problems into workable analytical plans</li>
<li>Building financial models, market analyses, or synthesized findings from messy inputs</li>
<li>Producing client-ready deliverables under time pressure</li>
<li>Forming and defending recommendations under uncertainty</li>
</ul>
<p>No deep technical background is required — we will onboard you on the lightweight tools involved.</p>
<h4>What you’ll do</h4>
<ul>
<li>Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.</li>
<li>Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.</li>
<li>Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.</li>
</ul>
<p>This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.</p>
<h4>Skills & requirements</h4>
<ul>
<li>3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&</li>
<li>Strong structured problem-solving and hypothesis-driven thinking</li>
<li>Ability to translate vague problems into clear analytical steps and deliverables</li>
<li>High attention to logical consistency and output quality</li>
<li>Independent, self-directed working style</li>
<li>Clear written English (B2+)</li>
</ul>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.</p>
<p>Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.</p>
<p>We are launching a management consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.</p>
<p>You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.</p>
<p><strong>Important:</strong> This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.</p>
<p><strong>Eligible firms:</strong> McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).</p>
<h4>Who we’re looking for</h4>
<p>Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:</p>
<ul>
<li>Structuring ambiguous client problems into workable analytical plans</li>
<li>Building financial models, market analyses, or synthesized findings from messy inputs</li>
<li>Producing client-ready deliverables under time pressure</li>
<li>Forming and defending recommendations under uncertainty</li>
</ul>
<p>No deep technical background is required — we will onboard you on the lightweight tools involved.</p>
<h4>What you’ll do</h4>
<ul>
<li>Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.</li>
<li>Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.</li>
<li>Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.</li>
</ul>
<p>This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.</p>
<h4>Skills & requirements</h4>
<ul>
<li>3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&</li>
<li>Strong structured problem-solving and hypothesis-driven thinking</li>
<li>Ability to translate vague problems into clear analytical steps and deliverables</li>
<li>High attention to logical consistency and output quality</li>
<li>Independent, self-directed working style</li>
<li>Clear written English (B2+)</li>
</ul>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.</p>
<p>Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.</p>
<p>We are launching a management consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.</p>
<p>You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.</p>
<p><strong>Important:</strong> This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.</p>
<p><strong>Eligible firms:</strong> McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).</p>
<h4>Who we’re looking for</h4>
<p>Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:</p>
<ul>
<li>Structuring ambiguous client problems into workable analytical plans</li>
<li>Building financial models, market analyses, or synthesized findings from messy inputs</li>
<li>Producing client-ready deliverables under time pressure</li>
<li>Forming and defending recommendations under uncertainty</li>
</ul>
<p>No deep technical background is required — we will onboard you on the lightweight tools involved.</p>
<h4>What you’ll do</h4>
<ul>
<li>Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.</li>
<li>Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.</li>
<li>Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.</li>
</ul>
<p>This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.</p>
<h4>Skills & requirements</h4>
<ul>
<li>3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&</li>
<li>Strong structured problem-solving and hypothesis-driven thinking</li>
<li>Ability to translate vague problems into clear analytical steps and deliverables</li>
<li>High attention to logical consistency and output quality</li>
<li>Independent, self-directed working style</li>
<li>Clear written English (B2+)</li>
</ul>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.</p>
<p>Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.</p>
<p>We are launching a management consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.</p>
<p>You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.</p>
<p><strong>Important:</strong> This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.</p>
<p><strong>Eligible firms:</strong> McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).</p>
<h4>Who we’re looking for</h4>
<p>Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:</p>
<ul>
<li>Structuring ambiguous client problems into workable analytical plans</li>
<li>Building financial models, market analyses, or synthesized findings from messy inputs</li>
<li>Producing client-ready deliverables under time pressure</li>
<li>Forming and defending recommendations under uncertainty</li>
</ul>
<p>No deep technical background is required — we will onboard you on the lightweight tools involved.</p>
<h4>What you’ll do</h4>
<ul>
<li>Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.</li>
<li>Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.</li>
<li>Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.</li>
</ul>
<p>This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.</p>
<h4>Skills & requirements</h4>
<ul>
<li>3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&</li>
<li>Strong structured problem-solving and hypothesis-driven thinking</li>
<li>Ability to translate vague problems into clear analytical steps and deliverables</li>
<li>High attention to logical consistency and output quality</li>
<li>Independent, self-directed working style</li>
<li>Clear written English (B2+)</li>
</ul>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.</p>
<p>Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.</p>
<p>We are launching a management consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.</p>
<p>You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.</p>
<p><strong>Important:</strong> This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.</p>
<p><strong>Eligible firms:</strong> McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).</p>
<h4>Who we’re looking for</h4>
<p>Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:</p>
<ul>
<li>Structuring ambiguous client problems into workable analytical plans</li>
<li>Building financial models, market analyses, or synthesized findings from messy inputs</li>
<li>Producing client-ready deliverables under time pressure</li>
<li>Forming and defending recommendations under uncertainty</li>
</ul>
<p>No deep technical background is required — we will onboard you on the lightweight tools involved.</p>
<h4>What you’ll do</h4>
<ul>
<li>Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.</li>
<li>Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.</li>
<li>Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.</li>
</ul>
<p>This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.</p>
<h4>Skills & requirements</h4>
<ul>
<li>3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&</li>
<li>Strong structured problem-solving and hypothesis-driven thinking</li>
<li>Ability to translate vague problems into clear analytical steps and deliverables</li>
<li>High attention to logical consistency and output quality</li>
<li>Independent, self-directed working style</li>
<li>Clear written English (B2+)</li>
</ul>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.</p>
<p>Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.</p>
<p>We are launching a management consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.</p>
<p>You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.</p>
<p><strong>Important:</strong> This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.</p>
<p><strong>Eligible firms:</strong> McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).</p>
<h4>Who we’re looking for</h4>
<p>Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:</p>
<ul>
<li>Structuring ambiguous client problems into workable analytical plans</li>
<li>Building financial models, market analyses, or synthesized findings from messy inputs</li>
<li>Producing client-ready deliverables under time pressure</li>
<li>Forming and defending recommendations under uncertainty</li>
</ul>
<p>No deep technical background is required — we will onboard you on the lightweight tools involved.</p>
<h4>What you’ll do</h4>
<ul>
<li>Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.</li>
<li>Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.</li>
<li>Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.</li>
</ul>
<p>This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.</p>
<h4>Skills & requirements</h4>
<ul>
<li>3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&</li>
<li>Strong structured problem-solving and hypothesis-driven thinking</li>
<li>Ability to translate vague problems into clear analytical steps and deliverables</li>
<li>High attention to logical consistency and output quality</li>
<li>Independent, self-directed working style</li>
<li>Clear written English (B2+)</li>
</ul>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives.<br> Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.<br> We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems.<br> To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.<br> Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm.<br> If you do not have hands-on project experience at one of the firms listed below, please do not apply.<br> This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.<br> Eligible firms: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).<br> Who We’re Looking For Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in: Structuring ambiguous client problems into workable analytical plans Building financial models, market analyses, or synthesized findings from messy inputs Producing client-ready deliverables under time pressure Forming and defending recommendations under uncertainty No deep technical background is required — we will onboard you on the lightweight tools involved.<br> What You’ll Do Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.<br> Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.<br> Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.<br> This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.<br> Skills & Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy& Strong structured problem-solving and hypothesis-driven thinking Ability to translate vague problems into clear analytical steps and deliverables High attention to logical consistency and output quality Independent, self-directed working style Clear written English (B2+) Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
<p>Industry Distribution and Payment Support airlines, travel sellers, and industry stakeholders in the adoption and implementation of Modern Airline Retailing, Offers and Orders capabilities, and IATA payment solutions across Africa and the Middle East, driving industry readiness and successful transformation outcomes. Monitor the execution and progress of regional distribution transformation and payment initiatives across Africa and the Middle East, identifying implementation challenges and providing recommendations and corrective actions to support successful delivery. Track market developments, regulatory changes, industry trends, and competitive dynamics impacting distribution transformation and the payments landscape, identifying opportunities, risks, and actions to accelerate adoption and deliver business value. Develop and maintain regional performance metrics, adoption dashboards, and implementation reports to support data-driven decision-making and provide insights and recommendations to the Head of Industry Distribution and Transformation. Deliver regional workshops, webinars, roadshows, and awareness campaigns on Modern Airline Retailing, Offers and Orders, IATA Settlement Systems, and IATA Payment Initiatives to increase industry understanding, promote best practices, and facilitate the adoption of transformation programs. Regional Mobilization Lead and Execute regional mobilization activities to collect industry input , share updates with industry partners (Agents & Airlines), and to support new business cases or enhance products development . Monitor the progress of regional campaigns and mobilization initiatives, coordinating with internal and external stakeholders to ensure timely completion of agreed actions, and provide regular status updates and recommendations to management. IATA Settlement Systems (ISS) and local Governance Support In collaboration with Country Managers, build and maintain strong relationships with airlines, travel agents, and freight forwarders to support the adoption and growth of IATA's financial and distribution services. Manage and influence local ISS governance bodies (APJC, CC, LFCAG, and other relevant forums) to drive effective decision-making, ensure the implementation of robust risk management frameworks, and maintain alignment with global governance standards while ensuring full legal and regulatory compliance. Monitor and forecast market developments, industry trends, and emerging risks, proactively identifying opportunities to enhance ISS performance, customer value, and market penetration. Drive customer excellence across assigned markets by proactively understanding stakeholder needs, managing escalations effectively, and strengthening customer satisfaction, loyalty, and confidence in IATA's services. Manage ISS expansion and other initiatives/ projects across assigned markets, collaborating with project teams and cross-functional stakeholders at local, regional, and headquarters levels throughout the project lifecycle, from business case development and stakeholder engagement to implementation and post-launch review. Teamwork and Expert Knowledge Build strong partnerships with internal stakeholders and senior management to support the achievement of regional objectives and global strategy, while providing guidance to Area Managers on Payment and Distribution initiatives to ensure alignment with organizational priorities. Contribute to a culture of inclusion, integrity, collaboration, innovation, and continuous improvement, fostering strong teamwork and a customer-centric mindset across the region. Collaborate effectively across functions in an agile and forward-looking manner, anticipating challenges, identifying opportunities, and proactively recommending solutions to support business success. Provide quantitative and qualitative market insights and analysis to support global Financial Services, Payments, and Distribution strategies, ensuring regional market needs and opportunities are reflected in strategic decision-making. Partner with regional and global Subject Matter Experts to strengthen organizational capabilities, promote knowledge sharing, and support the continuous development of regional expertise in Financial Services and Distribution.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>University degree (Bachelor or Master) in Business, Economics, Aviation, Data/Analytics, or a related field;</li><li>Minimum 7 years experience in the aviation and/or travel industry, particularly in distribution and travel retail environment;</li><li>Strong Understanding of IATA Agency Programme, IATA Settlement Systems (ISS), Modern Airline Retailing, and IATA payment programs;</li><li>Demonstrated ability to influence senior industry stakeholders, lead executive-level presentations, and engage effectively with internal and external subject matter experts.</li><li>Excellent communication skills; ability to deal with a wide range of clients and professionally address any level of management</li><li>A strong track record of successful public speaking engagements;</li><li>Strong skills in workshop facilitation, stakeholder engagement, and operational planning</li><li>Excellent oral and written communications skills in English, Arabic and French</li><li>Travel Required: Y</li></ul>
<p>Industry Distribution and Payment Support airlines, travel sellers, and industry stakeholders in the adoption and implementation of Modern Airline Retailing, Offers and Orders capabilities, and IATA payment solutions across Africa and the Middle East, driving industry readiness and successful transformation outcomes. Monitor the execution and progress of regional distribution transformation and payment initiatives across Africa and the Middle East, identifying implementation challenges and providing recommendations and corrective actions to support successful delivery. Track market developments, regulatory changes, industry trends, and competitive dynamics impacting distribution transformation and the payments landscape, identifying opportunities, risks, and actions to accelerate adoption and deliver business value. Develop and maintain regional performance metrics, adoption dashboards, and implementation reports to support data-driven decision-making and provide insights and recommendations to the Head of Industry Distribution and Transformation. Deliver regional workshops, webinars, roadshows, and awareness campaigns on Modern Airline Retailing, Offers and Orders, IATA Settlement Systems, and IATA Payment Initiatives to increase industry understanding, promote best practices, and facilitate the adoption of transformation programs. Regional Mobilization Lead and Execute regional mobilization activities to collect industry input , share updates with industry partners (Agents & Airlines), and to support new business cases or enhance products development . Monitor the progress of regional campaigns and mobilization initiatives, coordinating with internal and external stakeholders to ensure timely completion of agreed actions, and provide regular status updates and recommendations to management. IATA Settlement Systems (ISS) and local Governance Support In collaboration with Country Managers, build and maintain strong relationships with airlines, travel agents, and freight forwarders to support the adoption and growth of IATA's financial and distribution services. Manage and influence local ISS governance bodies (APJC, CC, LFCAG, and other relevant forums) to drive effective decision-making, ensure the implementation of robust risk management frameworks, and maintain alignment with global governance standards while ensuring full legal and regulatory compliance. Monitor and forecast market developments, industry trends, and emerging risks, proactively identifying opportunities to enhance ISS performance, customer value, and market penetration. Drive customer excellence across assigned markets by proactively understanding stakeholder needs, managing escalations effectively, and strengthening customer satisfaction, loyalty, and confidence in IATA's services. Manage ISS expansion and other initiatives/ projects across assigned markets, collaborating with project teams and cross-functional stakeholders at local, regional, and headquarters levels throughout the project lifecycle, from business case development and stakeholder engagement to implementation and post-launch review. Teamwork and Expert Knowledge Build strong partnerships with internal stakeholders and senior management to support the achievement of regional objectives and global strategy, while providing guidance to Area Managers on Payment and Distribution initiatives to ensure alignment with organizational priorities. Contribute to a culture of inclusion, integrity, collaboration, innovation, and continuous improvement, fostering strong teamwork and a customer-centric mindset across the region. Collaborate effectively across functions in an agile and forward-looking manner, anticipating challenges, identifying opportunities, and proactively recommending solutions to support business success. Provide quantitative and qualitative market insights and analysis to support global Financial Services, Payments, and Distribution strategies, ensuring regional market needs and opportunities are reflected in strategic decision-making. Partner with regional and global Subject Matter Experts to strengthen organizational capabilities, promote knowledge sharing, and support the continuous development of regional expertise in Financial Services and Distribution.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>University degree (Bachelor or Master) in Business, Economics, Aviation, Data/Analytics, or a related field;</li><li>Minimum 7 years experience in the aviation and/or travel industry, particularly in distribution and travel retail environment;</li><li>Strong Understanding of IATA Agency Programme, IATA Settlement Systems (ISS), Modern Airline Retailing, and IATA payment programs;</li><li>Demonstrated ability to influence senior industry stakeholders, lead executive-level presentations, and engage effectively with internal and external subject matter experts.</li><li>Excellent communication skills; ability to deal with a wide range of clients and professionally address any level of management- A strong track record of successful public speaking engagements;</li><li>Strong skills in workshop facilitation, stakeholder engagement, and operational planning</li><li>Excellent oral and written communications skills in English, Arabic and French</li><li>Travel Required: Y</li></ul>
<p>We are seeking an experienced Field Coordinator to coordinate the field-level implementation of the AMAL project s enterprise support component, and in particular the online legal, technical and administrative-financial accompaniment program for MSMEs in Amman, Zarqa and Karak. The Field Coordinator will also act as the line manager of ICU s field staff, ensuring coherent and quality implementation across the three governorates.</p><p>Key Responsibilities and Duties</p><ul><li>Coordinate the preparation, implementation and reporting of the online accompaniment program providing legal, technical and administrative-financial support to the selected MSMEs in the three governorates.</li><li>Supervise and support ICU field staff, including Case Managers and Enterprise Outreach and Liaison Officers, ensuring quality and consistency of field activities.</li><li>Liaise with service providers, experts and partners involved in the accompaniment program, monitoring the quality of the services delivered.</li><li>Maintain relationships with local stakeholders, authorities, business associations and partner organizations (SCJ, Athar) at field level.</li><li>Monitor enterprises participation in the program, ensuring that attendance conditions linked to grant tranches are tracked and documented.</li><li>Monitor activity progress against the work plan, identify bottlenecks and risks, and propose corrective measures to the Project Manager.</li><li>Contribute to the verification of activity documentation and means of verification for donor reporting.</li><li>Organize and document field visits, coordination meetings and activity-level reviews.</li><li>Ensure compliance with AICS requirements, ICU procedures and visibility guidelines in field operations.</li><li>Apply and promote ICU s safeguarding, protection, gender and do-no-harm principles across field activities.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor s or Master s degree in Business, Economics, Social Sciences, Project Management or a related field.</li><li>At least 4 years of proven experience in field coordination of development or humanitarian projects, preferably involving private sector development or MSME support.</li><li>Demonstrated experience supervising field teams.</li><li>Strong organizational, liaison and problem-solving skills.</li><li>Experience with EU/AICS-funded projects and donor compliance is an advantage.</li><li>Ability to travel frequently within Amman, Zarqa and Karak governorates.</li><li>Fluency in Arabic and proficiency in English</li></ul>
<p>Execute sales of treasury, financial brokerage, and investment services and products in accordance with approved policies, procedures, and guidelines. Sell treasury, financial brokerage, and investment products to existing and target customers and acquire new customers through appropriate sales and marketing channels. Conduct field visits to existing and prospective customers to establish and maintain professional relationships. Prepare customer visit reports and respond to customer inquiries regarding treasury services and products. Follow up on customer transactions related to treasury, financial brokerage, and investment services and products. Monitor cases of declining transaction margins and coordinate with the direct supervisor as required. Provide after-sales support and the necessary assistance to customers benefiting from treasury, investment, and financial brokerage products. Monitor local and global developments and changes affecting trading markets and communicate relevant information to customers in accordance with approved policies and procedures. Maintain and continuously update customer information in the customer database, including relevant procedures, activities, and field visit details. Collect customer feedback and opinions regarding treasury, financial brokerage, and investment services and products and report findings to the direct supervisor. Prepare and submit reports on sales volumes, transactions, procedures, and activities related to treasury, financial brokerage, and investment products.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's degree in Finance and Banking or a related field. 1 3 years of relevant work experience, preferably at least one year in the same or a similar field. Knowledge of laws, regulations, and manuals related to treasury and financial brokerage activities. Knowledge of policies and procedures related to the area of work. Good understanding of relevant functions and the roles of different organizational units. Strong analytical and investigative abilities. Ability to think and work accurately and logically. Ability to develop and update work methods and procedures. Ability to read, write, and communicate in English. Strong analytical and report-writing skills. Effective communication and interpersonal skills. Good time-management skills. Training or knowledge in financial and monetary markets. Knowledge of sales methods and techniques. Fresh graduates are welcome to apply.</p>
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<span>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives.<br> Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.<br> We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems.<br> To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.<br> Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm.<br> If you do not have hands-on project experience at one of the firms listed below, please do not apply.<br> This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.<br> Eligible firms: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).<br> Who We’re Looking For Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in: Structuring ambiguous client problems into workable analytical plans Building financial models, market analyses, or synthesized findings from messy inputs Producing client-ready deliverables under time pressure Forming and defending recommendations under uncertainty No deep technical background is required — we will onboard you on the lightweight tools involved.<br> What You’ll Do Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.<br> Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.<br> Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.<br> This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.<br> Skills & Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy& Strong structured problem-solving and hypothesis-driven thinking Ability to translate vague problems into clear analytical steps and deliverables High attention to logical consistency and output quality Independent, self-directed working style Clear written English (B2+) Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> For this project, tasks are estimated to require around 25-30 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br></span> </div>
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<span>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives.<br> Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.<br> We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems.<br> To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.<br> Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm.<br> If you do not have hands-on project experience at one of the firms listed below, please do not apply.<br> This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.<br> Eligible firms: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).<br> Who We’re Looking For Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in: Structuring ambiguous client problems into workable analytical plans Building financial models, market analyses, or synthesized findings from messy inputs Producing client-ready deliverables under time pressure Forming and defending recommendations under uncertainty No deep technical background is required — we will onboard you on the lightweight tools involved.<br> What You’ll Do Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.<br> Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.<br> Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.<br> This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.<br> Skills & Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy& Strong structured problem-solving and hypothesis-driven thinking Ability to translate vague problems into clear analytical steps and deliverables High attention to logical consistency and output quality Independent, self-directed working style Clear written English (B2+) Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> For this project, tasks are estimated to require around 25-30 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br></span> </div>
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<span>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives.<br> Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.<br> We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems.<br> To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.<br> Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm.<br> If you do not have hands-on project experience at one of the firms listed below, please do not apply.<br> This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.<br> Eligible firms: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).<br> Who We’re Looking For Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in: Structuring ambiguous client problems into workable analytical plans Building financial models, market analyses, or synthesized findings from messy inputs Producing client-ready deliverables under time pressure Forming and defending recommendations under uncertainty No deep technical background is required — we will onboard you on the lightweight tools involved.<br> What You’ll Do Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.<br> Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.<br> Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.<br> This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.<br> Skills & Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy& Strong structured problem-solving and hypothesis-driven thinking Ability to translate vague problems into clear analytical steps and deliverables High attention to logical consistency and output quality Independent, self-directed working style Clear written English (B2+) Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
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Org. Setting and Reporting<br>This position is located in the office of the Special Envoy of the Secretary-General for Yemen (OSESGY). This position located in Amman, Jordan. The Interpreter will report to the Chief of Staff.<br> Responsibilities<br>Within delegated authority, the incumbent will be responsible for the following: - Provides consecutive and simultaneous interpretation between local language(s) and designated UN working language(s) at meetings, conferences, negotiations and operational activities, facilitating communication between UN officials, national authorities and other stakeholders. - Ensures interpretation services meet high standards of accuracy, consistency and fidelity to the meaning, tone and nuances of original statements, using appropriate UN terminology and linguistic conventions. - Provides escort and field interpretation for visiting delegations from UN Headquarters, senior mission leadership and external partners during official visits, missions and field activities. - Facilitates communication between the organization and host-country institutions and national counterparts, providing interpretation and translation support as required. - Provides interpretation and translation services during meetings, conferences and official engagements, including those involving senior management or high-level stakeholders. - Reviews, edits and proofreads translated texts to ensure linguistic accuracy and consistency, and maintains terminology resources, glossaries and reference materials to support interpretation and translation work. - Interprets specialized terminology including legal, technical and colloquial language across various substantive areas of work. - Provides written translation and interpretation of documents received from substantive sections, including correspondence, briefing notes, reports, agreements and other official communications. - Contributes to the development and maintenance of terminology databases and reference materials, identifies emerging terminology, and ensures consistent application of established UN terminology standards. - Supports the Chief/Head of Unit in organizing and planning interpretation services, contributes inputs to language service work strategies, and supports coordination of interpretation activities within the unit. - Ensures appropriate cultural and linguistic adaptation of translated materials to ensure clarity and relevance in the local context. - May be assigned to high-level or sensitive meetings, ensuring strict confidentiality and professionalism. - May coordinate interpretation assignments and act as lead interpreter during major meetings, missions or conferences, as required. - Performs other related duties as required.<br> Competencies<br>Professionalism: Shows pride in work and achievements; Demonstrates professional competence and mastery of subject matter; Is conscientious and efficient in meeting commitments, observing deadlines and achieving results; Is motivated by professional rather than personal concerns; Show persistence when faced with difficult problems or challenges; Remains calm in stressful situations; Takes responsibility for incorporating gender perspectives and ensuring the equal participation of women and men in all areas of work. Communication: Speaks and writes clearly and effectively; Listens to others, correctly interprets messages from others and responds appropriately; Asks questions to clarify, and exhibits interest in having two-way communication; Tailors language, tone, style and format to match the audience; Demonstrates openness in sharing information and keeping people informed. Client Orientation: Considers all those to whom services are provided to be "clients " and seeks to see things from clients' point of view; Establishes and maintains productive partnerships with clients by gaining their trust and respect; Identifies clients' needs and matches them to appropriate solutions; Monitors ongoing developments inside and outside the clients' environment to keep informed and anticipate problems; Keeps clients informed of progress or setbacks in projects; Meets timeline for delivery of products or services to client.<br> Education<br>A first level degree from a university or an institution of equivalent status is required.<br> Job - Specific Qualification<br>Not available.<br> Work Experience<br>At least five years of professional English and Arabic translation and interpretation experience in international organizations, NGOs, or educational institutions is required. A minimum of 3 years of experience within a UN special political mission is desirable.<br> Languages<br>English and French are the working languages of the United Nations Secretariat. For this job opening, English <b>and</b> Arabic are required. The table below shows the minimum required level for each skill in these languages, according to the UN Language Framework (please consult https://languages.un.org for details).<br> .headtable { font-family: arial, sans-serif; border-collapse: collapse; width: 100%; border: 1px solid gray; border-radius: 10px; overflow: hidden; } .headTitle { font-family: Arial, Helvetica, sans-serif; font-size: 16px; font-weight: bold; /*color: rgb(65, 98, 145);*/ color:black; } .headtable tr td, .headtable tr th { text-align: center; vertical-align: middle; padding: 6px; } .headtable th{ background-color: #F4F4F4; color: #002d62; font-weight: bold; text-align: center; vertical-align: middle; padding: 12px; border-right: 1px solid #ccc; } .headtable td { text-align: center; vertical-align: middle; background-color: white; border-top: 1px solid #ccc; border-right: 1px solid #ccc; } .headtable th:last-child, .headtable td:last-child { border-right: none; } .headtable tr:last-child td { border-bottom: none; } .rounded-table-wrapper { border-radius: 12px; border: 1px solid #ccc; overflow: hidden; } Required LanguagesLanguageReadingWritingListeningSpeaking<br><b>English</b>UN Level IVUN Level IVUN Level IVUN Level IV<br><b>Arabic</b>UN Level IVUN Level IVUN Level IVUN Level IV<br> <br> Assessment<br>Evaluation of qualified candidates may include an assessment exercise which may be followed by competency-based interview.<br> Special Notice<br>Candidates for the National Professional Officer category shall be of the nationality of the country where this position is located. The United Nations Secretariat is committed to achieving 50/50 gender balance and geographical diversity in its staff. Female candidates are strongly encouraged to apply for this position.<br> United Nations Considerations<br>According to article 101, paragraph 3, of the Charter of the United Nations, the paramount consideration in the employment of the staff is the necessity of securing the highest standards of efficiency, competence, and integrity. Candidates will not be considered for employment with the United Nations if they have committed violations of international human rights law, violations of international humanitarian law, sexual exploitation, sexual abuse, or sexual harassment, or if there are reasonable grounds to believe that they have been involved in the commission of any of these acts. The term “sexual exploitation” means any actual or attempted abuse of a position of vulnerability, differential power, or trust, for sexual purposes, including, but not limited to, profiting monetarily, socially or politically from the sexual exploitation of another. The term “sexual abuse” means the actual or threatened physical intrusion of a sexual nature, whether by force or under unequal or coercive conditions. The term “sexual harassment” means any unwelcome conduct of a sexual nature that might reasonably be expected or be perceived to cause offence or humiliation, when such conduct interferes with work, is made a condition of employment or creates an intimidating, hostile or offensive work environment, and when the gravity of the conduct warrants the termination of the perpetrator’s working relationship. Candidates who have committed crimes other than minor traffic offences may not be considered for employment. Due regard will be paid to the importance of recruiting the staff on as wide a geographical basis as possible. The United Nations places no restrictions on the eligibility of men and women to participate in any capacity and under conditions of equality in its principal and subsidiary organs. The United Nations Secretariat is a non-smoking environment. Reasonable accommodation may be provided to applicants with disabilities upon request, to support their participation in the recruitment process. By accepting a letter of appointment, staff members are subject to the authority of the Secretary-General, who may assign them to any of the activities or offices of the United Nations in accordance with staff regulation 1.2 (c). Further, staff members in the Professional and higher category up to and including the D-2 level and the Field Service category are normally required to move periodically to discharge functions in different duty stations under conditions established in ST/AI/2023/3 on Mobility, as may be amended or revised. This condition of service applies to all position specific job openings and does not apply to temporary positions. Applicants are urged to carefully follow all instructions available in the online recruitment platform, inspira, and to refer to the Applicant Guide by clicking on “Manuals” in the “Help” tile of the inspira account-holder homepage. The evaluation of applicants will be conducted on the basis of the information submitted in the application according to the evaluation criteria of the job opening and the applicable internal legislations of the United Nations including the Charter of the United Nations, resolutions of the General Assembly, the Staff Regulations and Rules, administrative issuances and guidelines. Applicants must provide complete and accurate information pertaining to their personal profile and qualifications according to the instructions provided in inspira to be considered for the current job opening. No amendment, addition, deletion, revision or modification shall be made to applications that have been submitted. Candidates under serious consideration for selection will be subject to reference checks to verify the information provided in the application. All external candidates recruited in accordance with section 2.2 (a) of ST/AI/2025/3 for a fixed term appointment without limitation and all external candidates recruited in accordance with section 2.2. (c) of ST/AI/2025/3 for a fixed term appointment limited to the entity are subject to an initial probationary period of one year under a fixed-term appointment. Job openings advertised on the Careers Portal will be removed at 11:59 p.m. (New York time) on the deadline date.<br> No Fee<br>THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.<br><br> </div>
<h2 class="h5">Job description</h2>
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<span>Business Development · Support onboarding activities for new partners including documentation, due diligence coordination and go-live support.<br> · Conduct regular partner visits to strengthen relationships and increase transaction volumes.<br> · Identify new business opportunities, remittance corridors and potential strategic partnerships.<br> · Identify and onboard new Exchange Houses, Banks and Financial Institution partners in Jordan.<br> · Conduct commercial negotiations and support agreement execution with prospective partners.<br> · Support regulatory documentation and onboarding requirements in coordination with Compliance.<br> · Assist in executing pricing, promotional campaigns and market activation initiatives.<br> · Support DPB, DTB & CB referral programs initiatives within the assigned market.<br> Partner Management · Monitor partner transaction trends and report business opportunities to the Head of Originating Markets.<br> · Assist partners in resolving operational issues by coordinating with Client Services, Operations and Compliance.<br> · Ensure partner branding, marketing materials and promotional activities are maintained across branches.<br> · Support periodic Business Reviews (QBRs) with partner management.<br> Commercial & Market Intelligence · Collect competitor pricing, commission structures and market intelligence.<br> · Monitor customer behavior, corridor trends and migration opportunities.<br> · Assist in implementation of corridor-specific promotional campaigns.<br> · Monitor Jordan remittance market developments, competitor activities and regulatory changes.<br> · Identify opportunities for corridor expansion, correspondent banking and digital payment solutions.<br> Operations & Governance · Coordinate with Finance and Treasury regarding funding requirements and settlement follow-up.<br> · Escalate partner operational issues, system disruptions and customer complaints promptly.<br> · Support business continuity activities during service disruptions.<br> · Coordinate implementation of new API integrations and operational enhancements with Product, Technology and Operations teams.<br> · Support business continuity planning and service recovery activities across Jordan partners.<br> · Ensure all customer and partner interactions comply with AML/CFT and regulatory requirements.<br> · Maintain accurate CRM records, visit reports and business activity trackers.<br> · Prepare weekly and monthly activity reports for the Head of Originating Markets.<br> Graduate from University, preferably in Business Administration, Banking, Finance, Marketing or a related discipline.<br> 1. EXPERIENCE Candidate must be based in Jordan and must have a minimum of 6 years of Banking, Exchange House or FinTech experience with at least 4 years in Business Development or Relationship Management along with following requirements · Working knowledge of Cross Border Payment industry.<br> · Knowledge of Exchange House business operations.<br> · Basic understanding of correspondent banking and international payment processes.<br> · Knowledge of AML/CFT and sanctions requirements.<br> · Experience in partner relationship management.<br> · Strong negotiation and presentation skills.<br> · Proficiency in Excel and PowerPoint.<br> · Arabic and fluency in English is required; preference may be given to a Jordanian national with strong local market knowledge.<br></span> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span><u><b>Job Summary</b></u>
<br></span><p>The Senior Technical and Engineering Manager responsible for all engineering/technical aspects of the Company's operations, inclusive of value engineering opportunities, construction and overall methodology, method statements, engineering design drawings, shop drawings and material submittals and follow up approval. This position also manages the preparation/verification of detailed constructional drawings, negotiation and securing of technical and statutory approvals to achieve and monitor the optimum effectiveness.</p><br> <br><br><u><b>Job Responsibilities 1</b></u>
<br><p>Develop and implement technical strategies aligned with organizational goals.</p><br>
<p>Oversee the planning, execution, and completion of engineering projects, ensuring they meet quality, budget, and timeline requirements.</p><br>
<p>Provide technical guidance and oversight on complex engineering problems and projects.</p><br>
<p>Manage and allocate resources effectively to optimize project outcomes and team performance.</p><br>
<p>Collaborate with cross-functional teams, stakeholders, and clients to understand project requirements and deliver solutions.</p><br>
<p>Drive innovation and continuous improvement initiatives to enhance engineering processes and product development.</p><br>
<p>Identify and mitigate risks associated with engineering projects and ensure compliance with industry standards and regulations.</p><br>
<p>Develop and manage budgets for engineering projects and departmental operations.</p><br>
<p>Monitor and evaluate the performance of engineering projects and team members, implementing corrective actions as necessary to achieve objectives.</p><br>
<br><br><u><b>Job Responsibilities 2</b></u>
<br><br><b>Additional Responsibilities 3</b>
<br><br><u><b>Job Knowledge & Skills</b></u>
<br><p>Profound understanding of engineering principles and technical concepts across multiple disciplines.</p><br>
<p>Demonstrated leadership skills in managing interdisciplinary teams and complex projects.</p><br>
<p>Strong project management abilities to oversee project lifecycles, budgets, and schedules effectively.</p><br>
<p>Advanced problem-solving capabilities to address technical challenges and drive innovative solutions.</p><br>
<p>Excellent communication and stakeholder management skills to facilitate collaboration and ensure project success.</p><br>
<p>ERP knowledge preferably SAP functional skills are a requirement to be successful in this role.</p><br><br><br><u><b>Job Experience</b></u>
<br><p>Minimum 8 years working experience, 5 years in a relevant supervisory position, 2 years GCC experience is a plus</p><br><br><br><u><b>Competencies</b></u>
<br>Agility<br>AI Fluency<br>Resilience<br>Quality<br>Leadership<br>Cost Management L4<br>QA/QC L4<br>Geotechnical Engineering L4<br>Drawings/Specifications L4<br>HSE L4<br>Build High-Performing Teams<br>Speed of Execution<br>Build Process and Systems<br>Provide Direction<br>Drive Cost Optimization<br><br><br><u><b>Education</b></u>
<br>Bachelor's Degree in Civil Engineering or Engineering<br>Profesional degree in MMUP Engineer Registration (UPDA)<br><br><br><br>
</div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span><u><b>Job Summary</b></u>
<br></span><p>The Senior Technical and Engineering Manager responsible for all engineering/technical aspects of the Company's operations, inclusive of value engineering opportunities, construction and overall methodology, method statements, engineering design drawings, shop drawings and material submittals and follow up approval. This position also manages the preparation/verification of detailed constructional drawings, negotiation and securing of technical and statutory approvals to achieve and monitor the optimum effectiveness.</p><br> <br><br><u><b>Job Responsibilities 1</b></u>
<br><p>Develop and implement technical strategies aligned with organizational goals.</p><br>
<p>Oversee the planning, execution, and completion of engineering projects, ensuring they meet quality, budget, and timeline requirements.</p><br>
<p>Provide technical guidance and oversight on complex engineering problems and projects.</p><br>
<p>Manage and allocate resources effectively to optimize project outcomes and team performance.</p><br>
<p>Collaborate with cross-functional teams, stakeholders, and clients to understand project requirements and deliver solutions.</p><br>
<p>Drive innovation and continuous improvement initiatives to enhance engineering processes and product development.</p><br>
<p>Identify and mitigate risks associated with engineering projects and ensure compliance with industry standards and regulations.</p><br>
<p>Develop and manage budgets for engineering projects and departmental operations.</p><br>
<p>Monitor and evaluate the performance of engineering projects and team members, implementing corrective actions as necessary to achieve objectives.</p><br>
<br><br><u><b>Job Responsibilities 2</b></u>
<br><br><b>Additional Responsibilities 3</b>
<br><br><u><b>Job Knowledge & Skills</b></u>
<br><p>Profound understanding of engineering principles and technical concepts across multiple disciplines.</p><br>
<p>Demonstrated leadership skills in managing interdisciplinary teams and complex projects.</p><br>
<p>Strong project management abilities to oversee project lifecycles, budgets, and schedules effectively.</p><br>
<p>Advanced problem-solving capabilities to address technical challenges and drive innovative solutions.</p><br>
<p>Excellent communication and stakeholder management skills to facilitate collaboration and ensure project success.</p><br>
<p>ERP knowledge preferably SAP functional skills are a requirement to be successful in this role.</p><br><br><br><u><b>Job Experience</b></u>
<br><p>Minimum 8 years working experience, 5 years in a relevant supervisory position, 2 years GCC experience is a plus</p><br><br><br><u><b>Competencies</b></u>
<br>Agility<br>AI Fluency<br>Resilience<br>Quality<br>Leadership<br>Cost Management L4<br>QA/QC L4<br>Geotechnical Engineering L4<br>Drawings/Specifications L4<br>HSE L4<br>Build High-Performing Teams<br>Speed of Execution<br>Build Process and Systems<br>Provide Direction<br>Drive Cost Optimization<br><br><br><u><b>Education</b></u>
<br>Bachelor's Degree in Civil Engineering or Engineering<br>Profesional degree in MMUP Engineer Registration (UPDA)<br><br><br><br>
</div>