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Remote project of 8–10 weeks for 3D and digital artists: create stylized 3D models and digital assets from briefs and references (low-poly, voxel, handcrafted and material-driven styles), recreate textures such as clay, fabric and paper, and produce consistent, optimized variations. The listing describes earnings as based on approved tasks, paid in USD, with work starting after portfolio approval and onboarding.
We are looking for a detail-oriented Business Analyst to support a project involving the evaluation of multiple chatbot responses. The role will require analyzing business requirements, comparing chatbot outputs, conducting structured evaluations, and providing final assessments based on defined criteria. Main tasks listed: Gather, analyze, and document business requirements; Collaborate with stakeholders to understand business needs and objectives; Translate business requirements into clear functional specifications; Analyze workflows, processes, and data to identify gaps and improvement areas.
Support the daily resource planning and deployment of 1,800+ contributors across multiple AI training projects. Reporting to the Supply Manager, you will allocate contributors, maintain accurate workforce data, monitor capacity, and coordinate with Project, Training, and Onboarding Leads. Main tasks listed: Allocate and move contributors based on project demand; Coordinate access, training, and instructions for resource movements; Maintain accurate deployment, status, performance, and capacity data; Monitor project capacity, throughput, onboarding, and offboarding.
Own resource planning and deployment for a large-scale AI training program, managing 1,800+ contributors across multiple projects. You will align capacity with client demand, oversee resource tracking systems, identify supply risks, and lead a team of Supply Coordinators to ensure smooth 24/7 operations. Main tasks listed: Make data-driven resource allocation and deployment decisions; Forecast capacity gaps and guide recruiting and fulfillment teams; Manage and improve centralized resource and throughput tracking systems; Integrate data from recruiting, onboarding, performance, and project delivery.
Manage day-to-day quality operations for multimodal AI annotation projects. Reporting to the Quality Manager, you will lead QA teams, monitor quality performance, resolve issues quickly, and ensure deliverables meet client standards within tight turnaround times. Main tasks listed: Lead Senior QA Leads and QA Leads across shifts; Set review priorities, sampling plans, and quality coverage; Implement audits, scoring rubrics, and calibration processes; Track accuracy, agreement, error rates, review throughput, and turnaround time.
Serve as the subject-matter expert for complex quality decisions in AI annotation projects. You will guide QA Leads, resolve ambiguous cases, lead calibration efforts, and use audit insights to improve guidelines, training, and overall data quality. Main tasks listed: Convert complex client guidelines into clear internal instructions; Validate project setup before production begins; Mentor and calibrate QA Leads and annotation teams; Lead calibration sessions and maintain reviewer consistency.
Lead the quality strategy for large-scale AI training data and annotation programs. You will define quality standards, manage quality teams, oversee audits, and ensure accurate, consistent, and timely delivery in a fast-paced environment with tight turnaround times. Main tasks listed: Define quality standards, metrics, and targets across data types; Build and lead Quality Leads and QA teams; Develop audit, sampling, calibration, and escalation frameworks; Lead client quality reviews and manage quality-related escalations.
We are seeking coding experts with strong language skills to support AI training and evaluation projects. You will apply your programming expertise to review code, solve technical problems, and improve the accuracy and clarity of AI-generated responses in your language of expertise. Main tasks listed: Write, review, debug, and optimize code for various programming tasks; Evaluate AI-generated code for correctness, efficiency, readability, and adherence to instructions; Create and review coding prompts, solutions, and technical explanations in your language of expertise; Ensure technical responses are clear, linguistically accurate, and use appropriate programming terminology.
We are looking for a detail-oriented Business Analyst to support a project involving the evaluation of multiple chatbot responses. The role will require analyzing business requirements, comparing chatbot outputs, conducting structured evaluations, and providing final assessments based on defined criteria. Main tasks listed: Gather, analyze, and document business requirements; Collaborate with stakeholders to understand business needs and objectives; Translate business requirements into clear functional specifications; Analyze workflows, processes, and data to identify gaps and improvement areas.
Turing invites Finance and Accounting Experts to join projects that fine-tune AI models. If you enjoy analyzing financial information, applying professional judgment, and providing clear, structured feedback, this is your chance to put your expertise to work in a new way. Your experience in accounting, investment banking, or wealth management will help shape how the next generation of AI understands and reasons about financial topics. Main tasks listed: Review and evaluate AI-generated responses to financial, accounting, valuation, and investment-related scenarios; Apply a structured rubric to assess accuracy, calculations, assumptions, reasoning, and risk awareness; Identify gaps, edge cases, and blind spots in financial analysis; Provide detailed annotations and written feedback to refine AI models.
Turing invites Business Consulting Experts to join projects that fine-tune AI models. If you enjoy solving ambiguous business problems, analyzing complex situations, and providing clear, structured feedback, this is your chance to put your expertise to work in a new way. Your experience in consulting, strategy, or operations will help shape how the next generation of AI understands and reasons about business decisions. Main tasks listed: Review and evaluate AI-generated responses to business, strategy, and operational scenarios; Apply a structured rubric to assess problem framing, assumptions, reasoning, analysis, and practicality of recommendations; Identify gaps, edge cases, and blind spots in strategic and operational thinking; Provide detailed annotations and written feedback to refine AI models.
The Business Analyst works on a Computer-Using Agent (CUA) evaluation project designed to assess and improve how AI systems understand instructions, analyze information, reason through problems, and complete tasks in digital environments. The role involves reviewing AI-generated responses and actions, validating information through online research, assessing accuracy and task completion, identifying errors or gaps, and providing detailed annotations, ratings, and explanations Main tasks listed: Analyze, summarize, and structure complex written content clearly and accurately; Conduct online research to verify claims, sources, and supporting evidence; Solve analytical, logical reasoning, data interpretation, arithmetic, and puzzle-based questions; Create scenarios and questions to evaluate and improve large language model performance.
The Business Analyst works on a Computer-Using Agent (CUA) evaluation project designed to assess and improve how AI systems understand instructions, analyze information, reason through problems, and complete tasks in digital environments. The role involves reviewing AI-generated responses and actions, validating information through online research, assessing accuracy and task completion, identifying errors or gaps, and providing detailed annotations, ratings, and explanations Main tasks listed: Analyze, summarize, and structure complex written content clearly and accurately; Conduct online research to verify claims, sources, and supporting evidence; Solve analytical, logical reasoning, data interpretation, arithmetic, and puzzle-based questions; Create scenarios and questions to evaluate and improve large language model performance.
You will be the sole Product Manager embedded in a cross-functional engineering team building a cloud-agnostic, multi-tenant platform for deploying, certifying, and distributing AI agents at enterprise scale. This is a greenfield platform engineering programme running across three phases over approximately 12 months, delivered for a government-aligned client. Backlog & Prioritisation Define and maintain the product backlog across all three phases.
We are seeking Life Sciences Subject Matter Experts to design advanced scientific-reasoning tasks for LifeSciBench. This is a non-coding role focused on biological knowledge, experimental interpretation, data analysis, and rigorous scientific reasoning. You will create challenging, objectively defensible problems based on realistic research scenarios, experimental results, biological data, figures, sequences, structures, and literature-style evidence. Main tasks listed: Design novel, graduate-level life sciences problems grounded in realistic research contexts; Develop clear questions and rigorous reference answers with defensible scientific reasoning; Interpret experiments, datasets, figures, sequences, structures, and other biological evidence; Validate biological claims, calculations, assumptions, and conclusions.
Turing invites Legal Experts to join projects that fine-tune AI models. If you enjoy applying legal reasoning, analyzing complex cases, and providing clear, structured feedback, this is your chance to put your expertise to work in a new way. Your background in U.S. law is exactly what’s needed to shape how the next generation of AI understands and reasons about legal systems. Main tasks listed: Review and evaluate AI-generated responses to U.S. legal hypotheticals across multiple areas of law; Apply a structured legal rubric to assess issue spotting, accuracy, reasoning, and application of law; Identify gaps, edge cases, and blind spots in legal reasoning, helping define benchmarks for legal AI performance; Provide detailed, high-quality annotations and written feedback to refine AI models.
We are seeking Subject Matter Experts (SMEs) with expertise in psychology, social work, counseling, qualitative research, HCI, communication, conflict resolution, coaching, or related advisory fields to support AI conversation evaluation research. SMEs will review conversations between participants and AI models, assess whether sufficient context was gathered before recommendations were made, identify missed opportunities for clarification, and provide structured feedback to improve conversational quality. Main tasks listed: Review AI conversations involving real-world interpersonal and everyday decision-making scenarios; Identify missing context and recommend relevant follow-up questions; Evaluate whether additional information would have changed the AI's recommendations; Distinguish between critical ("load-bearing") and non-essential information.
Evaluate and compare the quality of responses from multiple AI chatbots across real-world small business use cases. Main tasks listed: Create realistic business-related prompts based on defined user goals; Interact with multiple AI chatbots (max. 5 turns per conversation); Assess response quality across clarity, usefulness, and accuracy; Provide structured feedback and comparative evaluations.
We are seeking a highly qualified Politics Domain Expert to evaluate and improve Large Language Models (LLMs). You will design challenging prompts, assess factual accuracy and reasoning, and identify knowledge gaps within political science, governance, elections, public policy, international relations. Main tasks listed: Create advanced prompts covering political science, governance, elections, public policy and international relations; Evaluate AI-generated responses for factual accuracy, reasoning quality, completeness, and nuance; Identify hallucinations, logical inconsistencies, outdated information, and edge cases; Develop benchmark datasets and adversarial test cases.
We are seeking a highly qualified Sports Domain Expert to evaluate and improve Large Language Models (LLMs). You will design challenging prompts, assess factual accuracy and reasoning, and identify knowledge gaps within global sports, leagues, athletes, tournaments, rules, statistics, analytics. Main tasks listed: Create advanced prompts covering global sports, leagues, athletes, tournaments, rules, statistics, analytics; Evaluate AI-generated responses for factual accuracy, reasoning quality, completeness, and nuance; Identify hallucinations, logical inconsistencies, outdated information, and edge cases; Develop benchmark datasets and adversarial test cases.