About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality data, evaluations, and reinforcement learning environments that improve model capabilities in coding, reasoning, tool use, and multimodality. In coding, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across Financial Services, Life Sciences, Healthcare, Retail, Automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models.
Role Overview
We are seeking Engineering experts to contribute advanced technical expertise to data curation and evaluation for frontier AI models and labs. This senior reviewer role focuses on reviewing complex engineering problems, developing evaluation frameworks, and advising client teams assessing AI-generated technical outputs.
The role is designed for experienced researchers, faculty, and industry specialists interested in applying their expertise to improve the accuracy, reasoning, and reliability of AI systems across engineering disciplines.
What You’ll Do Day-to-Day
- Lead expert review of complex or ambiguous engineering problems and AI-generated responses.
- Evaluate technical accuracy across engineering analysis, design, modeling, and validation.
- Review content within your areas of expertise, such as mechanical, electrical, civil, chemical, aerospace, industrial, computer, or biomedical engineering.
- Assess engineering calculations, design specifications, experimental results, simulation outputs, and technical literature.