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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.

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.

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…

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.

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.

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.

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.

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.

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.