Life Sciences Scientific Reasoning Task Designer

OpenTrain AI, Inc.; United States; Remote; USD 96,000 - 165,000; Full time

Job summary

OpenTrain AI, Inc. is seeking a remote contractor to develop advanced scientific reasoning tasks for AI evaluation. The role emphasizes interpretation of biological evidence and rigorous question-writing, with oversight to ensure quality and reproducibility.

Applicants should have Ph.D. or postdoctoral experience in life sciences, and strong knowledge across disciplines such as molecular biology, genetics, neuroscience, and biochemistry.

Qualifications

• Ph.D., postdoctoral experience, or equivalent advanced research experience in the life sciences.
• Strong knowledge of at least one biological discipline.
• Ability to design graduate-level life sciences problems and evaluate scientific material.

Responsibilities

• Design novel, graduate-level life sciences problems based on realistic research contexts.
• Write precise, self-contained questions and defensible reference answers.
• Interpret experiments, datasets, figures, sequences, structures, and other biological evidence.
• Validate biological claims, calculations, assumptions, and conclusions.
• Identify alternative interpretations and questions that are not sufficiently constrained.
• Document tasks clearly and make them reproducible where appropriate.
• Maintain quality and throughput while responding to reviewer feedback.

Skills

Scientific reasoning

Data interpretation

Scientific writing

Clear explanations

Attention to detail

Ambiguity handling

Education

Ph.D.

Postdoctoral experience

Equivalent advanced research experience

Tools

Biology knowledge

Job description

The Work

You will create advanced scientific reasoning tasks for AI evaluation. The work uses realistic research scenarios and asks you to turn biological evidence into clear, rigorous questions and reference answers.

Your work will focus on scientific interpretation and reasoning rather than programming or code execution. You will also review task quality, address ambiguity, and incorporate reviewer feedback.

• Design novel, graduate-level life sciences problems based on realistic research contexts.
• Write precise, self-contained questions and defensible reference answers.
• Interpret experiments, datasets, figures, sequences, structures, and other biological evidence.
• Validate biological claims, calculations, assumptions, and conclusions.
• Identify alternative interpretations and questions that are not sufficiently constrained.
• Document tasks clearly and make them reproducible where appropriate.
• Maintain quality and throughput while responding to reviewer feedback.

What It Pays And Takes

This is a remote contractor assignment for one month. The role description calls for at least 40 hours per week, including four hours of overlap with Pacific Time and at least eight hours per day; the listing also records a 20+ hour weekly commitment.

Compensation is described as competitive, but no specific rate or payment amount is provided. The role is listed in USD and may be suitable for someone seeking part-time contract work.

• Engagement: One-month remote contractor assignment.
• Schedule: At least 40 hours per week in the role description, with four hours of Pacific Time overlap and a minimum of eight hours per day.
• Listed time requirement: 20+ hours per week.
• Language: English.
• Education or experience: Ph.D., postdoctoral experience, or equivalent advanced research experience in the life sciences.
• Expertise: Strong knowledge of at least one biological discipline.
• Skills: Scientific experiment and data interpretation, scientific writing, precision, and the ability to explain complex concepts clearly.
• Helpful background: Graduate-level problem or assessment design, manuscript or research review, AI-generated scientific response evaluation, or AI and machine learning evaluation datasets.
• Relevant fields 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.
• Useful additions include peer-reviewed publications or graduate-level teaching and mentoring experience.

About AI Training Work

AI training work uses human-written examples, evaluations, and feedback to help improve how AI systems answer questions and reason. OpenTrain is a platform for finding and building careers in this field, where contributors can create a profile and apply for projects in one place.