Life Sciences Scientific Reasoning Expert

The Work

You will create scientific reasoning tasks for evaluating AI systems. The work focuses on biological knowledge, experimental interpretation, data analysis, precise scientific writing, and defensible reasoning rather than programming.

You will turn realistic research scenarios and evidence into challenging problems that test synthesis and interpretation instead of simple factual recall. You will also review your work for scientific accuracy, clarity, reproducibility, and possible alternative interpretations.

• Design novel, graduate-level life sciences problems based on realistic research contexts.
• Write clear questions and rigorous reference answers supported by sound scientific reasoning.
• Interpret experiments, datasets, figures, sequences, structures, and literature-style evidence.
• Check biological claims, calculations, assumptions, and conclusions.
• Identify ambiguity, alternative explanations, and questions that lack enough information.
• Make tasks self-contained, reproducible when appropriate, and clearly documented.
• Use reviewer feedback while maintaining quality and throughput.

What It Pays And Takes

This is a remote contractor assignment for someone with advanced life sciences research experience. The source provides no specific compensation amount or payment unit.

• Pay: Competitive compensation; exact amount and payment unit are not provided.
• Schedule: One-month assignment with at least 40 hours per week in the role description; the structured listing states 20+ hours per week.
• Time overlap: At least four hours overlapping with Pacific Standard Time.
• Location: Remote and open worldwide.
• Language: English.
• Work type: Contractor and part-time.
• Education and experience: Ph.D., postdoctoral experience, or equivalent advanced research experience in the life sciences.
• Expertise: Strong knowledge in at least one biological discipline and the ability to interpret experiments, data, and research findings.
• Writing: Strong scientific writing skills, precision, and the ability to turn complex concepts into clear, self-contained questions.
• Programming: This role does not involve programming or executing code.

Helpful Background

Experience creating graduate-level problems, assessments, or research exercises can help. Reviewing scientific manuscripts, evaluating AI-generated scientific answers, or working with AI and machine learning evaluation datasets is also relevant.

Relevant areas 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 fields.

• Peer-reviewed publications.
• Graduate-level teaching or mentoring experience.
• Experience evaluating scientific reasoning or research conclusions.
• Experience working with biological data, figures, sequences, structures, or experimental results.

How It Works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI Training Work

AI training is human work that helps artificial intelligence learn from examples, including carefully written questions, answers, and evaluations. People with strong subject knowledge are paid to check whether AI reasoning is accurate, clear, and supported by evidence.