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 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 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 the life sciences.
What You’ll Do Day-to-Day
- Lead expert review of complex or ambiguous life science problems and AI-generated responses.
- Evaluate scientific accuracy across biological mechanisms, experimental methods, and interpretations of research findings.
- Review content within your areas of expertise, such as molecular biology, cell biology, genetics, biochemistry, microbiology, immunology, neuroscience, physiology, ecology, or evolutionary biology.