As a Life Sciences Scientific Reasoning Expert, you will create advanced scientific-reasoning tasks for AI evaluation. The work focuses on realistic research scenarios and asks models to interpret evidence, synthesize information, and defend their reasoning rather than repeat facts.
You will work with experimental results, biological data, figures, sequences, structures, and literature-style evidence. The work is non-coding and requires clear documentation, careful validation, and strong scientific judgment.
- Design graduate-level problems in the life sciences.
- Write clear questions and rigorous reference answers.
- Interpret experiments, biological data, and research findings.
- Validate scientific claims and calculations.
- Identify ambiguity and alternative interpretations.
- Keep tasks self-contained, precise, and clearly documented.
- Use reviewer feedback while maintaining quality and throughput.
What it pays and takes
This is a part-time contractor role listed as entry level. However, the role requires advanced research experience and strong expertise in at least one biological discipline.
- Pay: Not specified in the listing.
- Time: 20+ hours per week.
- Location: Worldwide.
- Language: English.
- Work type: Part-time contract work.
- Education and experience: Ph.D., postdoctoral experience, or equivalent advanced research experience in the life sciences.
- Core skills: Interpreting scientific experiments, data, and research findings, plus precise scientific writing.
- Relevant fields: Molecular biology, genetics and genomics, cell biology, biochemistry, neuroscience, microbiology, immunology, ecology, structural biology, biophysics, or a related discipline.
- Helpful experience: Designing graduate-level problems or assessments, reviewing research, turning complex concepts into precise questions, evaluating AI-generated scientific responses, or contributing to AI and machine learning evaluation datasets.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training is the human work behind systems that learn from examples, including writing and rating model responses and evaluating scientific reasoning. Researchers and other subject-matter experts help assess whether AI outputs are accurate, well supported, and useful.