Biology Researcher AI Trainer (Scientific Question Authoring)
About the role
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. Who this is for. Life scientists who want to author rigorous scientific reasoning problems with objectively defensible answers — no coding involved. If your strength is interpreting experiments, spotting ambiguity, and constructing questions that reward synthesis over recall, this is the fit. Who this isn't for. If you want to build tasks where agents write and execute code, see GeneBench Pro (genomics), Agentic Life Sciences (broad life sciences workflows), or Terminal Bench Science (cross STEM terminal tasks).
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.
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