Machine operator Jobs
548 Jobs Found
<p><h4>Position summary</h4>
<p>Operate and monitor washing, dry cleaning, and drying machinery, including adding chemicals and cleaning lint traps. Identify stained or damaged items and determine status for repair, spot treatment, rewash, or discard. Inspect cleanliness of articles removed from the washer, dryer, or dry-cleaning machines and place in clean linen carts. Set dryers to designated times and temperatures based on fabrics contained in load. Remove lint and debris from dryer screens, dry cleaning filters, and drain trap after each load. Fold cleaned articles into designated size, either by hand or using folding machine. Maintain accurate records of items laundered.</p>
<p>Follow all company safety and security policies and procedures; report accidents, injuries, and unsafe work conditions to manager; complete safety training and certifications. Follow all company policies and procedures; ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets. Develop and maintain positive working relationships with others; support team to reach common goals; listen and respond appropriately to the concerns of other employees.</p>
<p>Ensure adherence to quality expectations and standards; identify, recommend, develop, and implement new ways to increase organizational efficiency, productivity, quality, safety, and/or cost-savings. Visually inspect tools, equipment, or machines (e.g., to identify defects). Stand, sit, or walk for an extended period of time or for an entire work shift. Move, lift, carry, push, pull, and place objects weighing less than or equal to 25 pounds without assistance. Move through narrow, confined, or elevated spaces. Move over sloping, uneven, or slippery surfaces as well as up and down stairs and/or service ramps. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Perform other reasonable job duties as requested by supervisors.</p>
<h4>Preferred qualifications</h4>
<p><strong>Education:</strong> No high school diploma or G.E.D. equivalent.</p>
<p><strong>Related work experience:</strong> No related work experience.</p>
<p><strong>Supervisory experience:</strong> No supervisory experience.</p>
<p><strong>License or certification:</strong> None.</p>
<p>At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law.</p>
<p>At more than 100 award-winning properties worldwide, The Ritz-Carlton Ladies and Gentlemen create experiences so exceptional that long after a guest stays with us, the experience stays with them. Attracting the world’s top hospitality professionals who curate lifelong memories, we believe that everyone succeeds when they are empowered to be creative, thoughtful, and compassionate.</p>
<p>Every day, we set the standard for rare and special luxury service the world over and pride ourselves on delivering excellence in the care and comfort of our guests.</p>
<p>Your role will be to ensure that the “Gold Standards” of The Ritz-Carlton are delivered graciously and thoughtfully every day. The Gold Standards are the foundation of The Ritz-Carlton and are what guides us each day to be better than the next. It is this foundation and our belief that our culture drives success by which The Ritz-Carlton has earned the reputation as a global brand leader in luxury hospitality.</p>
<p>As part of our team, you will learn and exemplify the Gold Standards, such as our Employee Promise, Credo, and our Service Values. And our promise to you is that we offer the chance to be proud of the work you do and who you work with.</p>
<p>In joining The Ritz-Carlton, you join a portfolio of brands with Marriott International. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you.</p></p><p></p>
<p><h4>Position summary</h4>
<p>Operate and monitor washing, dry cleaning, and drying machinery, including adding chemicals and cleaning lint traps. Identify stained or damaged items and determine status for repair, spot treatment, rewash, or discard. Inspect cleanliness of articles removed from the washer, dryer, or dry-cleaning machines and place in clean linen carts. Set dryers to designated times and temperatures based on fabrics contained in load. Remove lint and debris from dryer screens, dry cleaning filters, and drain trap after each load. Fold cleaned articles into designated size, either by hand or using folding machine. Maintain accurate records of items laundered.</p>
<p>Follow all company safety and security policies and procedures; report accidents, injuries, and unsafe work conditions to manager; complete safety training and certifications. Follow all company policies and procedures; ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets. Develop and maintain positive working relationships with others; support team to reach common goals; listen and respond appropriately to the concerns of other employees.</p>
<p>Ensure adherence to quality expectations and standards; identify, recommend, develop, and implement new ways to increase organizational efficiency, productivity, quality, safety, and/or cost-savings. Visually inspect tools, equipment, or machines (e.g., to identify defects). Stand, sit, or walk for an extended period of time or for an entire work shift. Move, lift, carry, push, pull, and place objects weighing less than or equal to 25 pounds without assistance. Move through narrow, confined, or elevated spaces. Move over sloping, uneven, or slippery surfaces as well as up and down stairs and/or service ramps. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Perform other reasonable job duties as requested by supervisors.</p>
<h4>Preferred qualifications</h4>
<p><strong>Education:</strong> No high school diploma or G.E.D. equivalent.</p>
<p><strong>Related work experience:</strong> No related work experience.</p>
<p><strong>Supervisory experience:</strong> No supervisory experience.</p>
<p><strong>License or certification:</strong> None.</p>
<p>At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law.</p>
<p>At more than 100 award-winning properties worldwide, The Ritz-Carlton Ladies and Gentlemen create experiences so exceptional that long after a guest stays with us, the experience stays with them. Attracting the world’s top hospitality professionals who curate lifelong memories, we believe that everyone succeeds when they are empowered to be creative, thoughtful, and compassionate.</p>
<p>Every day, we set the standard for rare and special luxury service the world over and pride ourselves on delivering excellence in the care and comfort of our guests.</p>
<p>Your role will be to ensure that the “Gold Standards” of The Ritz-Carlton are delivered graciously and thoughtfully every day. The Gold Standards are the foundation of The Ritz-Carlton and are what guides us each day to be better than the next. It is this foundation and our belief that our culture drives success by which The Ritz-Carlton has earned the reputation as a global brand leader in luxury hospitality.</p>
<p>As part of our team, you will learn and exemplify the Gold Standards, such as our Employee Promise, Credo, and our Service Values. And our promise to you is that we offer the chance to be proud of the work you do and who you work with.</p>
<p>In joining The Ritz-Carlton, you join a portfolio of brands with Marriott International. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you.</p></p><p></p>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span><br>POSITION SUMMARY<br>Operate and monitor washing, dry cleaning, and drying machinery, including adding chemicals and cleaning lint traps. Identify stained or damaged items and determine status for repair, spot treatment, rewash, or discard. Inspect cleanliness of articles removed from the washer, dryer, or dry-cleaning machines and place in clean linen carts. Set dryers to designated times and temperatures based on fabrics contained in load. Remove lint and debris from dryer screens, dry cleaning filters, and drain trap after each load. Fold cleaned articles into designated size, either by hand or using folding machine. Maintain accurate records of items laundered.<br>Follow all company safety and security policies and procedures; report accidents, injuries, and unsafe work conditions to manager; complete safety training and certifications. Follow all company policies and procedures; ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets. Develop and maintain positive working relationships with others; support team to reach common goals; listen and respond appropriately to the concerns of other employees. Ensure adherence to quality expectations and standards; identify, recommend, develop, and implement new ways to increase organizational efficiency, productivity, quality, safety, and/or cost-savings. Visually inspect tools, equipment, or machines (e.g., to identify defects). Stand, sit, or walk for an extended period of time or for an entire work shift. Move, lift, carry, push, pull, and place objects weighing less than or equal to 25 pounds without assistance. Move through narrow, confined, or elevated spaces. Move over sloping, uneven, or slippery surfaces as well as up and down stairs and/or service ramps. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Perform other reasonable job duties as requested by Supervisors.<br>PREFERRED QUALIFICATIONS<br>Education: No high school diploma or G.E.D. equivalent.<br>Related Work Experience: No related work experience.<br>Supervisory Experience: No supervisory experience.<br>License or Certification: None<br>At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law. <br>Marriott Hotels strive to elevate the art of hospitality, innovating at every opportunity while keeping the comfort of the oh-so-familiar all around the globe. As a host with Marriott Hotels, you will help keep the promise of “Wonderful Hospitality. Always.” by delivering thoughtful, heartfelt, forward-thinking service that upholds and builds upon this living legacy. With the name that’s synonymous with hospitality the world over, we are proud to welcome you to explore a career with Marriott Hotels. In joining Marriott Hotels, you join a portfolio of brands with Marriott International. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you. <br>JW Marriott is part of Marriott International's luxury portfolio and consists of more than 100 beautiful properties in gateway cities and distinctive resort locations around the world. JW believes our associates come first. Because if you’re happy, our guests will be happy. JW Marriott associates are confident, innovative, genuine, intuitive, and carry on the legacy of the brand’s namesake and company founder, J.Willard Marriott. Our hotels offer a work experience unlike any other, where you’ll be part of a community and enjoy true camaraderie with a diverse group of co-workers. JW creates opportunities for training, development, recognition and most importantly, a place where you can pursue your passions in a luxury environment with a focus on holistic well-being. Treating guests exceptionally starts with the way we take care of our associates. That’s The JW Treatment™. In joining JW Marriott, you join a portfolio of brands with Marriott International. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you.</span> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span><br>POSITION SUMMARY<br>Operate and monitor washing, dry cleaning, and drying machinery, including adding chemicals and cleaning lint traps. Identify stained or damaged items and determine status for repair, spot treatment, rewash, or discard. Inspect cleanliness of articles removed from the washer, dryer, or dry-cleaning machines and place in clean linen carts. Set dryers to designated times and temperatures based on fabrics contained in load. Remove lint and debris from dryer screens, dry cleaning filters, and drain trap after each load. Fold cleaned articles into designated size, either by hand or using folding machine. Maintain accurate records of items laundered.<br>Follow all company safety and security policies and procedures; report accidents, injuries, and unsafe work conditions to manager; complete safety training and certifications. Follow all company policies and procedures; ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets. Develop and maintain positive working relationships with others; support team to reach common goals; listen and respond appropriately to the concerns of other employees. Ensure adherence to quality expectations and standards; identify, recommend, develop, and implement new ways to increase organizational efficiency, productivity, quality, safety, and/or cost-savings. Visually inspect tools, equipment, or machines (e.g., to identify defects). Stand, sit, or walk for an extended period of time or for an entire work shift. Move, lift, carry, push, pull, and place objects weighing less than or equal to 25 pounds without assistance. Move through narrow, confined, or elevated spaces. Move over sloping, uneven, or slippery surfaces as well as up and down stairs and/or service ramps. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Perform other reasonable job duties as requested by Supervisors.<br>PREFERRED QUALIFICATIONS<br>Education: No high school diploma or G.E.D. equivalent.<br>Related Work Experience: No related work experience.<br>Supervisory Experience: No supervisory experience.<br>License or Certification: None<br>At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law. <br>Marriott Hotels strive to elevate the art of hospitality, innovating at every opportunity while keeping the comfort of the oh-so-familiar all around the globe. As a host with Marriott Hotels, you will help keep the promise of “Wonderful Hospitality. Always.” by delivering thoughtful, heartfelt, forward-thinking service that upholds and builds upon this living legacy. With the name that’s synonymous with hospitality the world over, we are proud to welcome you to explore a career with Marriott Hotels. In joining Marriott Hotels, you join a portfolio of brands with Marriott International. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you. <br>JW Marriott is part of Marriott International's luxury portfolio and consists of more than 100 beautiful properties in gateway cities and distinctive resort locations around the world. JW believes our associates come first. Because if you’re happy, our guests will be happy. JW Marriott associates are confident, innovative, genuine, intuitive, and carry on the legacy of the brand’s namesake and company founder, J.Willard Marriott. Our hotels offer a work experience unlike any other, where you’ll be part of a community and enjoy true camaraderie with a diverse group of co-workers. JW creates opportunities for training, development, recognition and most importantly, a place where you can pursue your passions in a luxury environment with a focus on holistic well-being. Treating guests exceptionally starts with the way we take care of our associates. That’s The JW Treatment™. In joining JW Marriott, you join a portfolio of brands with Marriott International. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you.</span> </div>
<p>Responsible for all on-site details for executing group events, develop and follow checklist/itinerary, and troubleshoot event problems. Serve as liaison and contact person for coordinating details of events with clients, outside vendors, meeting planners, and others involved in events. Design, confirm, and communicate room layouts and set-up requirements for special events. Enter and retrieve information contained in computer databases using a keyboard, mouse, or trackball to update records, files, and reservations. Transmit information or documents using computer, mail, or facsimile machine. Operate standard office equipment other than computers. Prepare weekly departmental payroll paperwork. Assist management in hiring, training, scheduling, evaluating, counseling, disciplining, and motivating and coaching employees; and serve as a role model and first point of contact of the Guarantee of Fair Treatment/Open Door Policy process. Follow all company and safety and security policies and procedures, report accidents and injuries, and complete safety training and certifications. Ensure uniform and personal appearance are clean and professional, maintain confidentiality of proprietary information, protect company assets, and visually inspect tools, equipment, or machines. Welcome and acknowledge all guests according to company standards, anticipate and address guests service needs, and thank guests with genuine appreciation. Speak with others using clear and professional language, prepare and review written documents accurately and completely, and answer telephones using appropriate etiquette. Develop and maintain positive working relationships with others, support team to reach common goals, and listen and respond appropriately to the concerns of other employees. Ensure adherence to quality expectations and standards. Move, lift, carry, push, pull, and place objects weighing less than 50 pounds without assistance.</p><p><strong>Desired Candidate Profile</strong></p><p>Education: High school diploma or G.E.D. equivalent. Related Work Experience: Less than 1 year related work experience. Supervisory Experience: At least 2 years of supervisory experience. License or Certification: None</p>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Responsible for all on-site details for executing group events, develop and follow checklist/itinerary, and troubleshoot event problems. Serve as liaison and contact person for coordinating details of events with clients, outside vendors, meeting planners, and others involved in events. Design, confirm, and communicate room layouts and set-up requirements for special events. Enter and retrieve information contained in computer databases using a keyboard, mouse, or trackball to update records, files, and reservations. Transmit information or documents using computer, mail, or facsimile machine. Operate standard office equipment other than computers. Prepare weekly departmental payroll paperwork. Assist management in hiring, training, scheduling, evaluating, counseling, disciplining, and motivating and coaching employees; and serve as a role model and first point of contact of the Guarantee of Fair Treatment/Open Door Policy process. Follow all company and safety and security policies and procedures, report accidents and injuries, and complete safety training and certifications. Ensure uniform and personal appearance are clean and professional, maintain confidentiality of proprietary information, protect company assets, and visually inspect tools, equipment, or machines. Welcome and acknowledge all guests according to company standards, anticipate and address guests service needs, and thank guests with genuine appreciation. Speak with others using clear and professional language, prepare and review written documents accurately and completely, and answer telephones using appropriate etiquette. Develop and maintain positive working relationships with others, support team to reach common goals, and listen and respond appropriately to the concerns of other employees. Ensure adherence to quality expectations and standards. Move, lift, carry, push, pull, and place objects weighing less than 50 pounds without assistance.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Education: high school diploma or G.E.D. equivalent.</p><p>Related Work Experience: Less than 1 year related work experience.</p><p>Supervisory Experience: At least 2 years of supervisory experience.</p><p>License or Certification: None</p><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>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>About the Role:</p><p>We re seeking an experienced data scientists to deliver insights and act as the hands on modeling lead on client engagements. You will slice and dice data using various methods and create new visions for the future. You ll frame problems, engineer features, build and deploy models, and monitor them in production to support the customer value creation activities. You will ship models that run at scale, withstand audit, and clearly link to incremental business value. While mining, interpreting, and cleaning the data, you will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the data s full potential. The ideal candidate will have mathematical and statistical expertise, extensive programming experience in multiple languages along with natural curiosity and a creative mind.</p><p>Core Responsibilities:</p><p>Problem Framing & Target Definition:</p><ul><li>Translate commercial goals into modeling problems (e.g., churn, propensity to buy, uplift, LTV, survival/tenure) with clear success metrics and guardrails</li><li>Identify relevant data sources to mine for client business needs, and collect large structured and unstructured datasets and variables</li></ul><p>Data Analysis:</p><ul><li>Serve as data strategist to identify and integrate new datasets and execute analytical experiments to help solve problems across various domains and industries</li><li>Devise and utilize algorithms and models to mine data, perform data and error analysis to improve models, clean and validate data for uniformity and accuracy</li><li>Analyze data for trends and patterns, and interpret data with clear objectives in mind</li></ul><p>Model Development:</p><ul><li>Create reproducible pipelines and a feature registry to calculate model inputs</li><li>Develop and evaluate churn, cross/upsell propensity, uplift/treatment effect, LTV, ranking/NBA models and select algorithms fit for data, scale, and explainability</li><li>Use clear control/holdouts, quantify precision vs. recall, calibration, and profit curves, simulate outcomes and set practical thresholds and simple policies (eligibility, suppressions, frequency caps)</li></ul><p>Operationalization:</p><ul><li>Implement analytical models in production by collaborating with software developers and machine-learning engineers</li><li>Implement scoring and integrate outputs with client MarTech/decisioning for SMS, email, in app, IVR, and agent assist</li><li>Set up monitoring (performance, drift, calibration, data quality), alerting, and retrain cadence with rollback criteria</li></ul><p>Governance, Risk & Explainability:</p><ul><li>Produce model cards, document features/exclusions, and run proportionate explainability/fairness checks for regulated contexts and maintain audit ready artifacts</li></ul><p>Enablement & Acceleration:</p><ul><li>Create templates, reusable code, and quick start notebooks, /coach client analysts on model usage and monitoring</li><li>Contribute to practice POVs/case studies as needed</li></ul><p>What we look for</p><p>Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you ll be a confident team player that collaborates with people from various teams while looking to develop your career in a dynamic organization.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>3 to 6 years of hands-on experience in applied data science with proficiency in data mining, mathematics, and statistical analysis</li><li>Experience either in an in house data science role at a leading industry player or in a consulting company AI & Advanced Analytics team with multi industry exposure</li><li>Structured problem solver with strong client facilitation skills and executive storytelling ability (able to translate technical findings into clear commercial recommendations)</li><li>Advanced experience in pattern recognition and predictive modeling</li><li>Ability to work with multiple programming languages and datamining tools</li><li>Able to work effectively in a dynamic, research-oriented group that has several concurrent projects</li><li>Bachelor s degree in the field of computer science is preferred (not mandatory)</li></ul><p>Technical Expertise:</p><ul><li>Data platforms: Azure Synapse/Databricks, Google BigQuery, Snowflake, or Amazon Redshift</li><li>Languages: SQL, Python, R and SAS</li><li>BI/Reporting (any): Power BI, Tableau</li></ul><p></p></section>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> Requirements and benefits Educational qualifications A Master’s Degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.<br> Bachelor’s degree is accepted if only candidate has 5 years of experience in the field.<br> Academic and/or Professional Experience Candidates should have a minimum of 3 years of professional experience in related roles or domain - specifically for QA-automation/testing or cybersecurity roles How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation: Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $50/hr .<br> Because payment is per task, a faster pace raises your effective hourly rate.<br> Why this freelance opportunity might be a great fit for you?<br> Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.<br> Work on advanced AI projects and gain valuable experience that enhances your portfolio.<br> - Influence how future AI models understand and communicate in your field of expertise.<br></span> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> Requirements and benefits Educational qualifications A Master’s Degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.<br> Bachelor’s degree is accepted if only candidate has 5 years of experience in the field.<br> Academic and/or Professional Experience Candidates should have a minimum of 3 years of professional experience in related roles or domain - specifically for QA-automation/testing or cybersecurity roles How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation: Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $50/hr .<br> Because payment is per task, a faster pace raises your effective hourly rate.<br> Why this freelance opportunity might be a great fit for you?<br> Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.<br> Work on advanced AI projects and gain valuable experience that enhances your portfolio.<br> - Influence how future AI models understand and communicate in your field of expertise.<br></span> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> Requirements and benefits Educational qualifications A Master’s Degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.<br> Bachelor’s degree is accepted if only candidate has 5 years of experience in the field.<br> Academic and/or Professional Experience Candidates should have a minimum of 3 years of professional experience in related roles or domain - specifically for QA-automation/testing or cybersecurity roles How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation: Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $50/hr .<br> Because payment is per task, a faster pace raises your effective hourly rate.<br> Why this freelance opportunity might be a great fit for you?<br> Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.<br> Work on advanced AI projects and gain valuable experience that enhances your portfolio.<br> - Influence how future AI models understand and communicate in your field of expertise.<br></span> </div>
<p>The SEO & Performance Specialist is a results-oriented, data-driven professional with a strong background in Google Ads who manages the full spectrum of search visibility, combining organic SEO strategies with high-performing paid search campaigns. The role is responsible for driving high-quality traffic, managing ad spend efficiently, and maximizing ROI across all search and performance channels. As search continues to evolve beyond traditional engines, this role also covers Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO), ensuring the company's content is structured, cited, and recommended across AI-powered search and answer platforms.</p><p><strong>Responsibilities:</strong></p><ul><li><strong>Search Engine Optimization:</strong> Execute on-page, off-page, and technical SEO strategies to strengthen organic search rankings. Conduct continuous keyword research and competitive analysis to identify new growth opportunities in both paid and organic landscapes.</li><li><strong>Paid Search and Performance:</strong> Plan, launch, and optimize Google Ads Search, Display, and Video campaigns to meet specific acquisition targets. Analyze campaign metrics and website data to improve click-through rates (CTR), lower cost-per-acquisition (CPA), and boost conversions.</li><li><strong>Answer Engine Optimization (AEO):</strong> Structure content with clear direct-answer blocks, schema markup, and entity clarity so it can be extracted and surfaced in featured snippets, knowledge panels, Google AI Overviews, and voice assistant results.</li><li><strong>Generative Engine Optimization (GEO):</strong> Develop and execute strategies to increase the brand's likelihood of being cited, summarized, and recommended by generative AI platforms such as ChatGPT, Perplexity, Gemini, and Copilot. Partner with content and design teams to build conversational, semantically rich, and machine-readable content (FAQs, structured data, clear entity signals) that aligns with how LLMs index and surface information.</li><li><strong>Monitoring and Reporting:</strong> Track citation frequency and share-of-voice in AI-generated answers using tools such as Otterly.ai or AIclicks, and report on performance alongside traditional SEO and paid metrics. Stay current on the evolving AI search landscape (AI Overviews, ChatGPT Search, Perplexity, Copilot, Claude) and adapt technical and content strategy as platforms and ranking factors change.</li></ul><p><strong>Required Skills:</strong></p><ul><li>Ability to interpret complex data from Google Analytics to drive performance decisions.</li><li>Working knowledge of AEO and GEO principles, including how LLMs and answer engines index, cite, and summarize web content.</li><li>Familiarity with schema markup and structured data implementation to support AI and answer-engine extraction.</li><li>Exposure to AI-visibility or citation-tracking tools (e.g., Otterly.ai, AIclicks) is a plus.</li><li>Organic and paid search performance reports (CTR, CPA, conversions).</li><li>SEO technical audits and on-page/off-page optimization records.</li><li>AEO/GEO-structured content and schema markup implementations.</li><li>AI citation and share-of-voice tracking reports.</li><li>Keyword research and competitive analysis summaries.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Qualifications and Experience:</p><ul><li>Bachelors degree in Marketing, or any related field.</li><li>Proven track record in managing Google Ads accounts and achieving measurable growth.</li><li>Deep understanding of SEO tools (e.g., SEMrush, Ahrefs, Search Console).</li></ul>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Job Description InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries.<br> We are currently seeking a Junior AI Engineer – Computer Vision to join our AI engineering team.<br> As a Junior Computer Vision Engineer at InnovationTeam , you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments.<br> You will work closely with cross-functional teams to build scalable image and video analytics solutions.<br> This position requires strong expertise in computer vision, deep learning, and software engineering.<br> The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.<br> At InnovationTeam , we foster a culture of innovation, collaboration, and technical excellence, offering an environment where Junior engineers can make a meaningful impact.<br> Role Overview We are seeking a skilled AI Engineer with a strong focus on Computer Vision to develop, optimize, and deploy vision-based AI solutions.<br> The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.<br> Key Responsibilities · Develop and train Computer Vision models for image and video analysis.<br> · Implement solutions for object detection, image classification, segmentation, and tracking.<br> · Prepare and manage datasets, including data cleaning, labelling, and augmentation.<br> · Optimize models for GPU performance, inference speed, and scalability.<br> · Deploy AI models into production using APIs and containerized services.<br> · Integrate Computer Vision models with broader AI and analytics platforms.<br> · Collaborate with software engineers, data scientists, and product teams.<br> · Maintain documentation and ensure code quality and reproducibility.<br> Required Skills & Qualifications · Minimum 2 years of hands-on experience in AI / Machine Learning/Deep learning with a focus on Computer Vision.<br> · Master’s degree in computer science, software Engineering, Artificial Intelligence, Engineering, or a related field.<br> · Strong knowledge of Computer Vision concepts and algorithms.<br> · Practical experience with CNN-based models and modern CV architectures.<br> · Proficiency in Python and common ML/CV libraries (PyTorch or TensorFlow, OpenCV).<br> · Experience with object detection and segmentation frameworks (e.<br>g., YOLO, Detectron2).<br> · Understanding of model evaluation, metrics, and performance optimization.<br> · Experience deploying models in cloud or on-prem environments.<br> · Familiarity with Docker and basic MLOps practices.<br> · Excellent English communication skills (written and spoken).<br> Nice to Have · Experience with video analytics or real-time inference.<br> · Exposure to Vision Transformers or multimodal AI.<br> · Experience with GPU-based training and inference.<br> · Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).<br> · Background in domains such as healthcare, smart cities, or industrial AI.<br> What We Offer · Work on practical, production-grade Computer Vision solutions.<br> · Access to GPU infrastructure and modern AI tooling.<br> · Collaborative, engineering-focused work environment.<br> · Opportunities for growth and advanced AI exposure.<br> · Competitive compensation package.<br></span> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>The Senior Programme Management Consultant will support the Relief and Social Service Department (RSSD) in the continued implementation of the digital archive initiative. The assignment focuses on programme oversight, coordination, delivery tracking, risk management, and reporting. The programme is already under implementation. Reporting to the Director, RSSD the Consultant will review current progress, identify bottlenecks and delivery risks, coordinate follow-up across project contributors, support management decision-making, and complete the deliverables set out below. The consultant will provide advisory, coordination, planning, monitoring, and reporting support to strengthen programme delivery.</p><p>The consultant will:</p><ul><li>Review the current status of the archive initiative, including workplans, deliverables, timelines, risks, contracts, stakeholder roles, staffing arrangements, and implementation challenges</li><li>Develop and maintain integrated delivery plans, schedules, risk registers, issue logs, dependency trackers, and reporting tools</li><li>Provide day-to-day coordination support across RSSD stakeholders, project teams, consultants, vendors, and service providers</li><li>Track progress regularly, including daily or near-daily follow-up on priority tasks, blockers, dependencies, and pending decisions</li><li>Identify delays, underperformance, resource gaps, and bottlenecks, recommending corrective action as appropriate</li><li>Support coordination of archive digitization, reading, validation, verification, metadata, investigative documentation, human verification, research support, and knowledge management activities</li><li>Track and support completion of the reading and verification of master card-related archive records</li><li>Support development of a model and completion plan for investigative factsheets</li><li>Facilitate coordination between archive and research stakeholders and technical or service-provider teams to ensure that tools and systems support RSSD requirements</li><li>Advise senior management on implementation priorities, risks, resource needs, governance arrangements, and future operating requirements</li><li>Support governance meetings, stakeholder consultations, donor reporting, budget reviews, procurement planning, and implementation reviews</li><li>Coordinate with the Communications Specialist, as required, to support dissemination of programme achievements, lessons learned, and knowledge products</li><li>Monitor programme performance, budget utilization, procurement timelines, vendor performance, milestones, risks, outputs, and deliverables against approved workplans</li><li>Prepare progress reports, briefing notes, presentations, donor reporting inputs, decision logs, management updates, lessons learned, and recommendations for future phases</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Qualifications/special skills</h2><p><strong>EDUCATION</strong></p><p>An advanced university degree (Master's degree or equivalent) in a relevant field is required. A first-level university degree (Bachelor's degree or equivalent) in a relevant field, combined with an additional two years of relevant experience, may be accepted in lieu of an advanced university degree. Professional certification in project or programme management, archives, records management, digital preservation, information governance, or knowledge management is desirable</p><p><strong>EXPERIENCE</strong></p><p>A minimum of ten years of progressively responsible experience managing complex archive, research, information management, digitization, knowledge management, records management, or related programmes involving multiple interdependent activities is required Experience coordinating multidisciplinary teams, external service providers, vendors, and consultants across archival, research, operational, information management, or technical functions is required Experience managing programme integration, dependencies, risks, delivery tracking, budgets, contracts, reporting requirements, and stakeholder engagement is required Experience providing day-to-day programme coordination, performance tracking, issue escalation, and corrective action recommendations across complex implementation teams is required Experience supporting donor-funded projects and complex multi-stakeholder initiatives involving international organizations, academic institutions, cultural heritage organizations, development partners, or similar stakeholders is required Experience managing or supporting archival digitization, records validation, human verification, metadata, investigative documentation, research documentation, or structured information extraction processes is highly desirable Experience providing strategic advice to senior management on programme implementation, governance, risk management, financial oversight, and organizational priorities is highly desirable Experience with Human-in-the-Loop processes, data annotation, machine learning-enabled extraction, digital repositories, records management systems, metadata frameworks, or structured factsheet workflows is desirable Experience within the United Nations system, international organizations, or humanitarian and development contexts is desirable</p><p><strong>TECHNICAL SKILLS</strong></p><p>Strong programme and project management skills, including experience with complex, multi-stakeholder programmes with interconnected deliverables, is required Advanced proficiency in Microsoft Office applications and project management tools is required Strong knowledge of archive, records management, digitization, validation, verification, metadata, research documentation, or knowledge management processes is required Strong ability to maintain delivery trackers, risk registers, dependency logs, budget monitoring tools, and management reporting products is required Understanding of how digital tools, AI-enabled extraction, machine learning, and Human-in-the-Loop processes can support archive, research, validation, and knowledge management activities is desirable Knowledge of digital repository systems, metadata standards, and international standards in archives, records management, digitization, digital preservation, and information governance is desirable</p><p><strong>Languages</strong></p><p>Excellent command of written and spoken English is required.</p><p></p></section>
<p>This Opportunity Seeking qualified, full-time DEERS Operations Specialist at JTC Zarqa, Jordan. The ideal candidate will be able to successfully perform all essential duties as directed by management, regulations, policies, instructions and the Performance Work Statement. NOTE: This positions is contingent upon award of work.</p><p>Your Impact</p><p>Operates the DEERS/RAPIDS site in accordance with all Defense Manpower Data Center (DMDC) policies, DoD regulations, and installation procedures during established support hours. Controls the efficient flow of customer appointments, walk ins, DEERS updates, and ID card issuance to meet customer service and regulatory requirements. Ensures customer service, accuracy, and timeliness objectives are met while supporting personnel readiness and identity management requirements. Facilitates DEERS profile updates, verifies eligibility documentation, and assists customers with enrollment, updates, and dependent record changes. Performs Site Security Manager (SSM) functions, including reviewing system audit trails, maintaining the site roster, enforcing workstation security, and ensuring compliance with DMDC security protocols. Produces monthly Transaction and Periodic Summary reports and maintains all required documentation in accordance with DMDC and Army administrative standards. Manages customer flow, schedules appointments, and ensures proper verification of identity and eligibility for all DEERS/RAPIDS transactions. Ensures all equipment, systems, and workstations remain secure and operational, reporting issues promptly. Maintains administrative files and records in accordance with AR 25 400 2 and applicable DoD guidance. Integrates lessons learned from audits, inspections, and customer feedback to improve site operations. Performs additional duties as required to support program requirements. Performs other duties as required</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Must have computer skills and be able to operate a variety of computer programs.</li><li>Must be able to speak, read and write English fluently</li><li>Must maintain a valid driver s license from their home country with validity for 12 months from on-site employment date</li><li>Must maintain a valid passport from their home country with validity for 12 months from on-site employment date. Passport must have a minimum of 6 blank pages prior to OCONUS mobilization.</li><li>Must be CAC eligible and able to gain and maintain authorized entry onto US military installations.</li><li>To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform essential job functions.</li><li>Must be a U.S. Citizen with an active Secret clearance .</li><li>Minimum of one (1) year of customer service experience in a professional office environment.</li><li>Must complete all DMDC required training and become a certified DEERS/RAPIDS operator prior to performing unsupervised duties.</li><li>Strong verbal and written communication skills with the ability to interact professionally with customers.</li><li>Ability to work independently in a fast paced environment, manage multiple tasks, and meet strict deadlines.</li><li>Proficiency with office automation tools and administrative processes.</li><li>Ability to maintain accurate records, follow detailed procedures, and comply with all DEERS/RAPIDS security requirements.</li><li>Must possess an active Secret clearance .</li><li>Must comply with all DMDC, DoD, and company information security policies and procedures.</li><li>Responsible for safeguarding personal identity information (PII) and ensuring proper classification, handling, and storage of sensitive data.</li><li>Must sign a company non disclosure agreement prior to accessing controlled information.</li><li>Completion of DMDC DEERS/RAPIDS Certification Training required prior to unsupervised operations. Additional training may be required based on mission needs.</li><li>Must meet CENTCOM deployment health standards. All new hires must process through the CONUS Replacement Center (CRC) at Fort Bliss, TX, and be approved for deployment, including receipt of required PPE.</li><li>Work may involve fast paced customer service operations, multiple concurrent tasks, and strict timelines.</li><li>Must be able to sit or stand for extended periods while assisting customers.</li><li>Work environment may include continuous interaction with customers and use of secure computer systems.</li></ul>
<p><h4>Position summary</h4>
<p>Organize cleaning chemicals and supplies. Organize supply rack, including pots, pans, serving spoons, utensils, etc. Rotate stock, bringing wares from storage bin or areas into kitchen. Complete cleaning checklists to determine appropriate timelines for cleaning and sanitizing. Collect dirty pans from the cooking line and transport to pot station for cleaning. Clean and maintain sanitation areas and organize cleaning supplies including hanging up mops and brooms. Clean and maintain loading dock areas. Clean ceiling, walls, and vents in dish room. Ensure clean wares are stored appropriately. Operate and maintain cleaning equipment and tools, including the dish washing machine, hand wash stations, pot-scrubbing station, and trash compactor.</p>
<p>Assist management in hiring, training, scheduling, evaluating, counseling, disciplining, motivating, and coaching employees; serve as a role model. Follow all company and safety and security policies and procedures; report maintenance needs, accidents, injuries, and unsafe work conditions to manager; complete safety training and certifications. Ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets. Speak with others using clear and professional language. Develop and maintain positive working relationships with others; support team to reach common goals. Ensure adherence to quality expectations and standards.</p>
<p>Move, lift, carry, push, pull, and place objects weighing less than or equal to 25 pounds without assistance. Stand, sit, or walk for an extended period of time. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Perform other reasonable job duties as requested by supervisors.</p>
<h4>Preferred qualifications</h4>
<p><strong>Education:</strong> High school diploma or G.E.D. equivalent.</p>
<p><strong>Related work experience:</strong> At least 1 year of related work experience.</p>
<p><strong>Supervisory experience:</strong> No supervisory experience.</p>
<p><strong>License or certification:</strong> None.</p>
<p>At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law.</p>
<p>At Westin, we are committed to empowering guests to regain control and enhance their well-being when they need it most while traveling, ensuring they can be the best version of themselves. To achieve the brand mission of becoming the preeminent wellness brand in hospitality, we need passionate and engaged associates to bring the brand’s unique programming to life. We want our associates to embrace their own well-being practices both on and off property. You are the ideal Westin candidate if you are passionate; you are active and take pride in how you maintain your well-being; you are optimistic; you are adventurous.</p>
<p>Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you.</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></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></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.<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. 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.<br>
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></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.<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. 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.<br>
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></p><p></p>