Life Scientist AI Trainer (Experimental Interpretation)
About the role
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. Tasks should test synthesis and interpretation rather than factual recall and help distinguish advanced AI reasoning capabilities.
What you'll do
- 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.
- Identify ambiguity, alternative interpretations, and insufficiently constrained questions.
- Ensure tasks are self contained, reproducible where applicable, and clearly documented.
- Incorporate reviewer feedback while maintaining quality and throughput.
Requirements
- Ph.D., postdoctoral experience, or equivalent advanced research experience in the life sciences.
- Strong expertise in at least one biological discipline.
- Demonstrated ability to interpret scientific experiments, data, and research findings.
- Strong scientific writing skills and attention to precision.
- Relevant backgrounds include molecular biology, genetics and genomics, cell biology, biochemistry, neuroscience, microbiology, immunology, evolutionary biology, ecology, structural biology, biophysics, developmental biology, cancer biology, pharmacology, and related life sciences disciplines.
- Preferred: Experience designing graduate level problems, assessments, or research exercises.
- Preferred: Experience reviewing scientific manuscripts or research.
- Preferred: Ability to translate complex scientific concepts into precise, self contained questions.
- Preferred: Experience evaluating AI generated scientific responses or working with AI/ML evaluation datasets.
- Preferred: Peer reviewed publications or graduate level teaching and mentoring experience.
About Turing
Turing is an AI company based in San Francisco that works with the world's leading AI labs to make their models better at reasoning, coding, languages and more. It also helps businesses build real AI systems, and it works with talent from over 100 countries.
AI Alerts shares third-party job opportunities for informational purposes only. We are not the employer and are not involved in the hiring process. Always verify the company and role through official channels before applying, and never pay to apply, train, onboard, process documents, or secure a job offer. Legitimate employers do not ask applicants for money. Read our Terms to learn more.