Property consultant Jobs in Jordan

<p>Responsibilities</p><ul><li>Lead the preparation and delivery of comprehensive feasibility studies across various industries.</li><li>Develop and analyze financial models, including DCF, project finance models, and valuation assessments.</li><li>Conduct market research and industry analysis to support strategic planning and investment decisions.</li><li>Prepare detailed reports, business proposals, and professional presentations for clients.</li><li>Manage project deliverables, timelines, client communication, and coordination with internal teams.</li><li>Support business development efforts by identifying new opportunities and contributing to market expansion initiatives.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Minimum 5 years of experience in a senior consulting or managerial role.</p><p>Master s degree or MBA in Finance, Economics, Business Administration, or a related field.</p><p>Strong expertise in financial modeling, feasibility studies, valuation techniques, and project management.</p><p>Proven experience in client management, stakeholder engagement, and advisory services.</p><p>Fluency in Arabic and English (written and verbal) is required.</p><p>Strong understanding of GCC market dynamics and business environments is preferred.</p><p>Ability to work effectively in a fast-paced, collaborative, and results-oriented environment.</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 &amp; Company, Boston Consulting Group (BCG), Bain &amp; Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&amp;C), EY-Parthenon, Kearney, and Strategy&amp; (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 &amp; Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&amp; 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>

<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 &amp; Company, Boston Consulting Group (BCG), Bain &amp; Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&amp;C), EY-Parthenon, Kearney, and Strategy&amp; (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 &amp; Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&amp; 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>

<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 &amp; Company, Boston Consulting Group (BCG), Bain &amp; Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&amp;C), EY-Parthenon, Kearney, and Strategy&amp; (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 &amp; Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&amp; 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>

<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 &amp; Company, Boston Consulting Group (BCG), Bain &amp; Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&amp;C), EY-Parthenon, Kearney, and Strategy&amp; (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 &amp; Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&amp; 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>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Generate prompts that challenge AI;</li> <li>Evaluate AI-generated solutions for correctness, assumptions, and logic;</li> <li>Improve AI reasoning to align with first principles and accepted standards;</li> <li>Apply structured scoring criteria to assess multi-step problem solving.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for legal consultants, attorneys with experience in US law open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in law (Bachelor, J.D., LLM, FLLM) within the US context</li> <li>2+ years of legal practice experience within US jurisdiction</li> <li>Strong written English (C1/C2)</li> <li>Stable internet connection</li> </ul> <h4>How it works</h4> <p>Apply     Pass qualification(s)     Join a project     Complete tasks     Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $44 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>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Generate prompts that challenge AI;</li> <li>Evaluate AI-generated solutions for correctness, assumptions, and logic;</li> <li>Improve AI reasoning to align with first principles and accepted standards;</li> <li>Apply structured scoring criteria to assess multi-step problem solving.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for legal consultants, attorneys with experience in US law open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in law (Bachelor, J.D., LLM, FLLM) within the US context</li> <li>2+ years of legal practice experience within US jurisdiction</li> <li>Strong written English (C1/C2)</li> <li>Stable internet connection</li> </ul> <h4>How it works</h4> <p>Apply     Pass qualification(s)     Join a project     Complete tasks     Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $44 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>This role is primarily responsible for attending customer inbound calls and resolves queries/ issues directed to Call Center to ensure customer satisfaction.<br> Informs customer about the various products and services offered by the Bank.<br> Follows-up, closes or escalate queries to different functions/ departments/ branches to ensure timely resolution of customer query.<br> Assists in implementing new initiatives undertaken periodically.<br> Handle client queries related to transactions and product 1 Attends inbound customer calls and resolves their issues within defined TAT to ensure client satisfaction and retention 2 Generates leads for cross-selling all products to ensure better profitability for the company 3 Follows-up with various departments to ensure queries are resolved within specified TAT 4 Undertakes special projects focusing on customer satisfaction 5 Demonstrates union banks core values and standards in all transactions, interactions 6 Adherence to internal work rules &amp; regulations 7 Ability execute certain banking transactions , for example(transfer,balance inquiry …)</span> </div>

<p><h4>Description</h4> <p>Lead enterprise data privacy and personal data protection programs by developing privacy frameworks, policies, compliance controls, privacy risk assessments, and regulatory implementation aligned with applicable privacy laws and international standards.</p> <h4>Key Responsibilities</h4> <ul> <li>Develop enterprise data privacy framework.</li> <li>Create privacy policies and procedures.</li> <li>Conduct privacy impact assessments (PIA).</li> <li>Perform data protection impact assessments (DPIA).</li> <li>Design privacy by design controls.</li> <li>Define personal data classification standards.</li> <li>Develop consent management processes.</li> <li>Establish data subject rights procedures.</li> <li>Implement data retention and deletion policies.</li> <li>Support data breach management processes.</li> <li>Conduct privacy risk assessments.</li> <li>Map personal data processing activities.</li> <li>Ensure compliance with applicable privacy regulations.</li> <li>Deliver awareness sessions and stakeholder workshops.</li> <li>Support privacy audits and assessments.</li> </ul> <h4>Requirements</h4> <h4>Technical Skills</h4> <ul> <li>Personal data protection regulations</li> <li>Privacy risk assessment</li> <li>DPIA / PIA</li> <li>Privacy by design</li> <li>Data classification</li> <li>Data masking</li> <li>Data anonymization</li> <li>Data encryption fundamentals</li> <li>Identity & access management concepts</li> <li>Records management</li> <li>Information security fundamentals</li> <li>Privacy compliance tools</li> </ul> <h4>Experience</h4> <ul> <li>7 to 10 years in data privacy, information security, governance, risk & compliance, or related fields.</li> <li>Experience implementing enterprise privacy programs.</li> <li>Experience with regulatory compliance projects.</li> </ul> <h4>Preferred Certifications</h4> <ul> <li>CIPP/E</li> <li>CIPP/A</li> <li>CIPM</li> <li>CIPT</li> <li>ISO 27701 Lead Implementer</li> <li>ISO 27001 Lead Implementer</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Lead enterprise Data Privacy and Personal Data Protection programs by developing privacy frameworks, policies, compliance controls, privacy risk assessments, and regulatory implementation aligned with applicable privacy laws and international standards.<br> Key Responsibilities Develop enterprise Data Privacy Framework.<br> Create Privacy Policies and Procedures.<br> Conduct Privacy Impact Assessments (PIA).<br> Perform Data Protection Impact Assessments (DPIA).<br> Design Privacy by Design controls.<br> Define Personal Data Classification standards.<br> Develop Consent Management processes.<br> Establish Data Subject Rights procedures.<br> Implement Data Retention and Deletion policies.<br> Support Data Breach Management processes.<br> Conduct Privacy Risk Assessments.<br> Map personal data processing activities.<br> Ensure compliance with applicable privacy regulations.<br> Deliver awareness sessions and stakeholder workshops.<br> Support privacy audits and assessments.<br> Technical Skills Personal Data Protection regulations Privacy Risk Assessment DPIA / PIA Privacy by Design Data Classification Data Masking Data Anonymization Data Encryption fundamentals Identity &amp; Access Management concepts Records Management Information Security fundamentals Privacy compliance tools Experience 7 to 10 years in Data Privacy, Information Security, Governance, Risk &amp; Compliance, or related fields.<br> Experience implementing enterprise privacy programs.<br> Experience with regulatory compliance projects.<br> Preferred Certifications CIPP/E CIPP/A CIPM CIPT ISO 27701 Lead Implementer ISO 27001 Lead Implementer</span> </div>

<p>UNICEF Jordan supports the delivery of integrated child development and protection services through Makani centers placed in Azraq and Zaatari refugee camps, providing children and adolescents with access to learning support services, skills building, life skills, psychosocial support, child protection, early childhood development, and parenting programs. The programme is implemented through Syrian Incentive-Based Volunteers (IBVs), covering different roles, including center managers, programme facilitators, data entries, outreach, admins, minders, cleaners, security guards, etc. This consultancy will provide systematic field monitoring and quality assurance of Makani Center operations and program implementation from September to December 2026. In line with program scale-down plans and the phased closure of some of the existing community-based centers and reduction in field workers (IBVs), the assignment requires specialized technical oversight to support the strategic reshaping and prioritization of a reduced package of services, while ensuring adherence to quality standards and accountability commitments. If you would like to know more about this consultancy, please review the complete Terms of Reference here: External ToR - Makani Monitoring and Implementation Support Consultant.pdf</p><p><strong>Desired Candidate Profile</strong></p><ul><li><strong>Education:</strong> Master's degree in social work, Social Sciences, educational psychology, educational counseling, Sociology, Education, Community Development, or any related field.</li><li><strong>Work Experience:</strong> Minimum 5 years of progressively responsible experience in learning and education, program monitoring, community-based programming, educational counseling including in a humanitarian context. Prior experience working in refugee camp settings in Jordan is required.</li><li><strong>Skills:</strong><ul><li>Demonstrated knowledge in Learning services and formal / non formal education. Also, on the Jordanian national curriculums.</li><li>Demonstrated knowledge of child protection principles and referral mechanisms.</li><li>Experience in program monitoring, field data collection, and structured reporting.</li><li>Familiarity with community-based service delivery and volunteer-based program models.</li><li>Ability to identify quality gaps and communicate findings clearly in writing.</li><li>Computer literacy includes the use of standard MS Office tools and data entry systems.</li></ul></li><li><strong>Language Requirements:</strong> Arabic: fluent; English: working knowledge</li><li><strong>Desirables:</strong><ul><li>Prior experience with the Makani program or similar integrated child development programs.</li><li>Prior experience in educational or/and learning curriculum revision and development.</li><li>Familiarity with UNICEF's Information Management System (IMS - BAYANATI) or equivalent program monitoring tools.</li><li>Experience supporting or working alongside incentive-based volunteers (IBVs) in humanitarian settings.</li></ul></li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Country : Amman, Jordan Advertising date : 09 July 2026 Submission date : 22 July 2026 before 23:55 Jordan time Funding : Kreditanstalt f r Wiederaufbau (KFW) Project Title :MENA Region NABNI/ Building for Peace (B4P) Facility Reference number : RFQ/BFPF/26/004 Contract Title: Communications and Multimedia Consultancy Content: Nabni is a project that seeks to further the Building for Peace approach, which aims to support locally led reconstruction processes in conflict-impacted communities in the MENA region. Funded by BMZ through KfW, Nabni finances and supports local civil society organisations in leading processes and projects that aim to build or rehabilitate physical or social infrastructure, strengthen governance, improve access to essential services, support or create livelihoods opportunities, or reinforce social ties at the local level. Nabni is seeking a qualified communications and multimedia consultancy firm to support the Facility in producing and disseminating high-quality communications outputs that clearly communicate its work, approaches, and impact. The assignment includes strategic and practical communications support, including written content, website and social media support, visibility materials, and the production of video and visual communication outputs for Nabni s communication channels. The selected firm will work closely with the Facility Management Unit, partners, donor representatives, NRC stakeholders, and other service providers to develop audience-focused communications products that improve understanding of Nabni s work and increase its visibility and reach among internal and external audiences. No margin of preference is applied; the Bid is open to all eligible Bidders. How to apply RFQ Download : If your company is interested in participating in RFQ, you are required to download the RFQ package, free of charge, using this link . Submission details: This RFQ follows a Two-Envelope process; details are outlined in the RFQ Remark: • Only valid registered companies are invited to apply; no sole trader submission is acceptable. • The Bid, as well as all correspondence and documents relating to the Bid, shall be written in English. • Offers must be submitted through the eTB system, and before the RFQ deadline expires. It will not be possible to submit your bid after the deadline or outside the eTB system. • For technical questions about the system , please get in touch with EMAIL_ADDRESS</p></div></section>

<p><h4>Description</h4> <p>Lead enterprise data privacy and personal data protection programs by developing privacy frameworks, policies, compliance controls, privacy risk assessments, and regulatory implementation aligned with applicable privacy laws and international standards.</p> <h4>Key Responsibilities</h4> <ul> <li>Develop enterprise data privacy framework.</li> <li>Create privacy policies and procedures.</li> <li>Conduct privacy impact assessments (PIA).</li> <li>Perform data protection impact assessments (DPIA).</li> <li>Design privacy by design controls.</li> <li>Define personal data classification standards.</li> <li>Develop consent management processes.</li> <li>Establish data subject rights procedures.</li> <li>Implement data retention and deletion policies.</li> <li>Support data breach management processes.</li> <li>Conduct privacy risk assessments.</li> <li>Map personal data processing activities.</li> <li>Ensure compliance with applicable privacy regulations.</li> <li>Deliver awareness sessions and stakeholder workshops.</li> <li>Support privacy audits and assessments.</li> </ul> <h4>Requirements</h4> <h4>Technical Skills</h4> <ul> <li>Personal data protection regulations</li> <li>Privacy risk assessment</li> <li>DPIA / PIA</li> <li>Privacy by design</li> <li>Data classification</li> <li>Data masking</li> <li>Data anonymization</li> <li>Data encryption fundamentals</li> <li>Identity & access management concepts</li> <li>Records management</li> <li>Information security fundamentals</li> <li>Privacy compliance tools</li> </ul> <h4>Experience</h4> <ul> <li>7 to 10 years in data privacy, information security, governance, risk & compliance, or related fields.</li> <li>Experience implementing enterprise privacy programs.</li> <li>Experience with regulatory compliance projects.</li> </ul> <h4>Preferred Certifications</h4> <ul> <li>CIPP/E</li> <li>CIPP/A</li> <li>CIPM</li> <li>CIPT</li> <li>ISO 27701 Lead Implementer</li> <li>ISO 27001 Lead Implementer</li> </ul></p><p></p>

<p>Please check the opportunity on this link Opportunity IRAP Jordan is seeking the consultancy services of a Safety and Security expert to conduct an independent, comprehensive evaluation of the physical security arrangements, operational procedures, and facility-related risks affecting IRAP Jordan Country Office. The assessment will identify vulnerabilities that could impact the safety of staff, interns, clients, visitors, assets, and confidential information, and will provide practical, risk-based recommendations to strengthen organizational resilience while maintaining a safe, accessible, and client-centered environment. Context and Objective • Proximity to conflict-affected populations (Syrian, Iraqi, Yemeni, Sudanese caseloads) • Potential for client psychological distress, coercion, or external third-party pressure • Intern and junior staff exposure to high-stress client interactions • Regulatory oversight of NGOs under Jordan's Law on Societies (No. 51/2008, amended 2009), including the Ministry of Social Development's supervisory authority over registration, foreign funding approval, and organizational dissolution The objective of this assessment is to develop appropriate measures in place pertaining to: • Physical security of the building envelope and entry systems • Interview room safety for staff, interns, and clients • Incident response and evacuation procedures • Information security related to physical access • Staff and intern security awareness and preparedness Key Deliverables • Executive Summary (3 5 pages) • Overall risk rating for the facility • Top 5 prioritized findings • Immediate actions required before the next operational day (if any) • Full Security Assessment Report • Current state description (observation-based) • Gap identification • Risk rating (probability + impact) • The threat actor most likely to exploit the gap • Recommended mitigation measure(s) • Cost estimate category (low/medium/high) • Responsible party for implementation • Interview Room Security Protocol (standalone document) • Room configuration standards furniture placement, door opening direction, staff positioning relative to exit • Pre-interview checklist room clearance, panic device test, colleague notification • Duress signal system verbal and non-verbal protocols, staff response procedure • Escalation ladder from client agitation through staff concern to active incident • Intern-specific protocols buddy system required • Post-incident procedure reporting, staff support, room lockdown sequence • Client dignity safeguards balancing security measures against client experience • Prioritized Risk Register • Security Management Plan (SMP) Draft • Daily opening/closing procedures • Visitor and client management flow • Key holder policy • After-hours incident contacts • Emergency communication tree • Quarterly review schedule • Training Needs Assessment Conduct &amp; Confidentiality • The assessor shall sign a confidentiality agreement before accessing any facility, staff, or documentary information • All findings are for internal use only unless explicitly authorized for external sharing • Staff interviews shall be conducted on a no-attribution basis • The final report shall be stored in accordance with the organization's data protection policy • The assessor shall disclose any findings of immediate danger to the Operations Manager within 24 hours of identification, regardless of the overall reporting timeline Compensation The total compensation for this consultancy is USD 2,500, payable upon successful completion of the assignment and upon the organization's submission and acceptance of all agreed deliverables. How to apply Applications should include: • A brief cover letter and understanding of the assignment. addressing the purpose, objectives, scope, criteria, and deliverables of the project. • Updated profile/ CV listing similar experiences/assignments • Experience / Survey / Study similar work with References / Recommendation letters • Three references from a previous employer. Review of applications will begin immediately and continue on a rolling basis.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Minimum 7 years of security management experience, with at least 3 years in Southwest Asia (Middle East) contexts</li><li>Direct experience assessing NGO or humanitarian operations in urban environments</li><li>Familiarity with Jordan's legal and regulatory framework for civil society organizations, including current Ministry of Social Development registration and foreign funding approval requirements</li><li>Working knowledge of UNHCR, ICRC, GISF, or equivalent facility security standards</li><li>Demonstrated competency in threat and risk assessment methodology (HEAT-equivalent or higher)</li><li>No conflict of interest with the organization or its donor base</li><li>Clearance/reference check completed prior to engagement</li></ul>