Find the right opportunity, not just another listing.

Turing

Pod lead – Civil and structural engineering

English Not stated on the listing

We are seeking an experienced Civil or Structural Engineering expert to lead a pod of trainers building realistic, terminal-based technical tasks for Terminal Bench Science. You will review every task your trainers produce for engineering correctness, reproducibility, and grader reliability, and coach trainers to consistently deliver high-quality tasks. Main tasks listed: Review engineering tasks end to end, including problem statements, structural and geotechnical models, load cases, simulation data, computational environments, reference solutions, and automated tests; Validate tasks involving structural analysis, finite-element methods (FEA), earthquake and wind engineering, structural dynamics, geotechnical modeling, hydraulics, hydrology, transportation, and infrastructure systems; Ensure tasks require genuine multi-step engineering reasoning and reflect realistic civil and structural engineering workflows; Verify engineering accuracy across units, equilibrium, boundary conditions, load combinations, design codes, numerical stability, convergence, and safety factors.

Last verified 2026-10-28

View role

Turing

Pod lead – Chemical Engineering (Terminal Bench Science)

English Not stated on the listing

We are seeking an experienced Chemical Engineering expert to lead a team of technical trainers developing realistic, terminal-based engineering tasks for a frontier AI training and evaluation initiative. In this role, you will oversee a pod of approximately 5–10 trainers, review chemical engineering tasks for technical accuracy, reproducibility, and evaluation quality, and ensure tasks reflect authentic chemical engineering workflows. Main tasks listed: Lead and mentor a pod of technical trainers, ensuring consistent quality, productivity, and timely delivery of chemical engineering tasks; Review engineering tasks end to end, including problem statements, reaction kinetics, thermodynamic and property data, process flowsheets, computational environments, reference solutions, and automated tests; Validate tasks involving reaction engineering, thermodynamics, phase equilibria, transport phenomena, separation processes, process simulation, process control, optimization, combustion, and electrochemical engineering; Ensure tasks reflect realistic chemical engineering workflows and require meaningful multi-step technical reasoning.

Last verified 2026-10-28

View role

Turing

Scientific Computing / Research Engineering Expert — Earth Sciences (Terminal Bench Science)

English Not stated on the listing

We are seeking experienced Earth Sciences experts to develop realistic, terminal-based scientific and computational tasks for a frontier AI training and evaluation initiative. In this role, you will design challenging scientific tasks involving climate science, atmospheric processes, geophysics, oceanography, geology, hydrology, remote sensing, and environmental modeling. Main tasks listed: Design realistic, multi-step scientific tasks based on authentic Earth Sciences, climate, geospatial, environmental, and geophysical research workflows; Prepare and process scientific datasets involving climate, weather, atmospheric conditions, oceanography, geology, hydrology, satellite imagery, and environmental systems; Develop computational tasks involving geospatial analysis, time-series processing, numerical modeling, interpolation, forecasting, remote sensing, and environmental risk analysis; Build reproducible, terminal-based computational environments using scientific libraries, command-line tools, and appropriate dependencies. The listing says the work can involve sensitive or graphic content.

Last verified 2026-10-28

View role

Turing

Domain Expert – Python

English Not stated on the listing

We are seeking Life Sciences Subject Matter Experts to develop advanced scientific reasoning tasks for LifeSciBench. Unlike coding-focused benchmarks, this role emphasizes deep biological knowledge, scientific interpretation, and rigorous reasoning. You will create challenging questions based on realistic scientific scenarios, experimental results, biological data, figures, literature-style evidence, and research problems. This is a non-code benchmark: tasks are not executed, and no programming is required. 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.

Last verified 2026-10-28

View role

Turing

Video Data Annotation Specialist

English Not stated on the listing

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from…

Last verified 2026-10-28

View role

Turing

Life Sciences Subject Matter Expert – Biology

English Not stated on the listing

We are seeking Life Science experts to contribute advanced scientific expertise to data curation and evaluation for frontier AI models and labs. This senior reviewer role focuses on reviewing complex life science problems, developing evaluation frameworks, and advising client teams assessing AI-generated scientific outputs.

Last verified 2026-10-28

View role

Turing

Domain Expert – Python

English Not stated on the listing

We are hiring US-based academic dermatologists to contribute senior clinical expertise to data curation for frontier AI models and labs. The work supports a longitudinal dermatology dataset used by AI developers, regulatory teams, and academic groups. This is the senior reviewer track of the project. You will lead clinical review on complex cases, contribute to the development of clinical evaluation frameworks, and serve as expert advisor for client teams reviewing AI model outputs. Main tasks listed: Lead senior-level clinical review on complex or ambiguous cases; Facilitate structured resolution of clinical disagreement among reviewers; Contribute to the development of clinical evaluation frameworks; Provide expert advisory hours to client teams reviewing AI model outputs. The listing says the work can involve sensitive or graphic content.

Last verified 2026-10-28

View role

Turing

Video Data QA Specialist

English Not stated on the listing

We are looking for experienced Video Data QA Specialists to support the OpenAI Egocentric project. The selected professionals will be responsible for reviewing video annotations and performing quality assurance checks to ensure that the data meets project requirements and quality standards. Review and QA video annotations according to project-specific guidelines. Validate the accuracy, completeness, and consistency of annotated video data. Identify, document, and correct annotation issues.

Last verified 2026-10-28

View role

Turing

Medical Experts – Medical Doctor USA (MD, MBBS, MBChB, or Medical Diploma)

English United States Not stated on the listing

We are seeking experienced US-based Medical Doctors (MD) or international equivalent (MBBS, MBChB, Medical Diploma, etc.) to help evaluate and enhance large language model (LLM) outputs in the medical domain. You’ll assess AI-generated clinical content for medical accuracy, safety, and relevance — contributing to the development of responsible AI in healthcare. Main tasks listed: Review AI-generated medical text for accuracy, harmfulness, and completeness, with focus on medical field; Evaluate diagnoses, treatment plans, and summaries for medical cases; Provide expert feedback to improve medical integrity and safety of LLM outputs; Collaborate with AI researchers and clinicians to align model performance with evidence-based medical standards.

Last verified 2026-10-28

View role

Turing

Business Analyst (Computer Use Agent)

English Not stated on the listing

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.

Last verified 2026-10-28

View role

Turing

Business Analyst (Computer Use Agent) – II

English Not stated on the listing

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.

Last verified 2026-10-28

View role

Turing

LLM Annotator – Master’s Degree

English Not stated on the listing

We are seeking highly motivated Team Management to support the evaluation and improvement of cutting-edge Large Language Models (LLMs). In this role, you will analyze structured data, create challenging prompts, evaluate AI-generated responses for factual accuracy and reasoning quality, and provide evidence-backed feedback to improve model performance. We are looking for curious, detail-oriented professionals who enjoy solving complex problems and evaluating AI systems. Main tasks listed: Create challenging prompts that evaluate an LLM's ability to retrieve, analyze, and reason over structured data; Assess AI-generated responses for factual accuracy, logical reasoning, and completeness; Identify model failures, inconsistencies, hallucinations, and reasoning gaps; Validate model outputs using provided datasets and supporting evidence.

Last verified 2026-10-28

View role

Turing

Domain Expert – Python

English Not stated on the listing

We are seeking highly qualified Domain Experts (SMEs) to support the evaluation, testing, and improvement of advanced Large Language Models (LLMs). You will apply your subject-matter expertise to assess AI-generated responses, identify knowledge gaps, design challenging prompts, and improve model accuracy, reliability, and reasoning. Main tasks listed: Create complex, domain-specific prompts to test LLM capabilities; Evaluate AI-generated responses for factual accuracy, reasoning, relevance, and overall quality; Identify factual errors, logical inconsistencies, knowledge gaps, and model weaknesses; Develop challenging test cases and edge cases that expose model limitations.

Last verified 2026-10-28

View role

Turing

Senior Code Quality Engineer – LLM Training and Evaluation

English Not stated on the listing

We are looking for senior software engineers with 7+ years of industry experience to support the training and evaluation of large language models. In this role, you will review, analyze, and improve AI-generated code, ensuring that it is correct, secure, maintainable, scalable, and aligned with production engineering standards. This is a code quality and engineering evaluation role—not a traditional software testing or manual QA position.

Last verified 2026-10-28

View role

Turing

Domain Expert: Biology

English Not stated on the listing

We are seeking experienced in Biology help evaluate and enhance large language model (LLM) outputs related to nutrition, dietary habits, and healthy eating. You’ll assess AI-generated content for scientific accuracy, safety, and relevance — contributing to the development of responsible AI in nutrition and wellness. Selected talents will label and evaluate data related to food intake, dietary patterns, and nutrition information to support AI models focused on nutrition tracking, coaching, or research. Main tasks listed: Annotate food items, portion sizes, meal composition, and nutrient content from text, images, or logs; Classify dietary patterns (e.g., macronutrient balance, meal timing, dietary restrictions/preferences); Verify accuracy of nutritional data against trusted references (e.g., food composition databases); Identify and flag mislabeled, inconsistent, or culturally ambiguous food entries.

Last verified 2026-10-28

View role

Turing

Quality Analyst (Non – US )

English United States Not stated on the listing

We are looking for a detail-oriented QA Analyst to evaluate and compare responses generated by multiple chatbots. The role involves reviewing outputs against defined guidelines, identifying inaccuracies or quality issues, and providing a clear final assessment for each evaluation task. Main tasks listed: Evaluate and compare responses generated by multiple chatbots; Assess responses for accuracy, relevance, completeness, clarity, and adherence to guidelines; Identify errors, inconsistencies, missing information, and potential quality issues; Provide structured feedback and final assessments for each task.

Last verified 2026-10-28

View role

Turing

Staff Research Engineer – Frontier AI, RL & Evaluation

English Not stated on the listing

Turing builds large-scale datasets and reinforcement learning environments that power post-training for leading AI labs and enterprises. Our environments evaluate and improve AI models on complex, long-range, multi-step workflows across high-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, and Customer Experience. Main tasks listed: Conduct Research on Frontier AI Systems; Investigate the capabilities, limitations, and training methods of frontier AI systems; Formulate research questions that inform Turing’s products, platforms, and technical strategy; Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.

Last verified 2026-10-28

View role

Turing

Strategic Project Lead – Software Engineering

English Not stated on the listing

We are looking for a Strategic Project Lead with direct experience operating software-engineering data programs for frontier AI models. You will own production across coding data, RLHF or preference data, SWE benchmarks, model evaluations, agentic coding, code generation, and code repair. This includes contributor calibration, throughput, quality, rework, cost, timelines, and delivery recovery. The role requires strong technical judgment.

Last verified 2026-10-28

View role

Turing

Computer Science (STEM)

English Not stated on the listing

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.

Last verified 2026-10-28

View role

Turing

Engineering Mananagement

English Not stated on the listing

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.

Last verified 2026-10-28

View role