PhD Biology Expert / Life Sciences Expert

OpenTrain AI, Inc.; United States; Remote; USD 109,000 - 182,000; Part time

Job summary

OpenTrain AI, Inc. seeks a remote contractor with deep biology and life sciences research experience to craft challenging problems for AI training and evaluation.

You will critique model outputs, provide expert-level written feedback, and contribute to benchmarks and datasets. The role focuses on translating real lab workflows into AI-ready tasks while ensuring rigorous scientific reasoning and adaptability to changing priorities.

Qualifications

• PhD in biology or related life sciences field.
• Hands-on research experience, ideally with peer-reviewed publications.
• Advanced knowledge of biology or life sciences domains.

Responsibilities

• Design difficult biology and life sciences problems for AI training and benchmarking.
• Review AI model and agent outputs for accuracy, scientific rigor, and reasoning quality.
• Provide clear, structured written feedback explaining errors and gaps in reasoning.
• Build and refine benchmarks, datasets, and evaluation tasks.
• Translate real research or lab workflows into AI training and testing tasks.
• Adapt work as research priorities and project scope evolve.

Skills

Scientific problem design

Critical evaluation

Technical writing

Benchmark development

Biology knowledge

Education

PhD in biology or related life sciences

Tools

Python

R

Command-line tools

Job description

Use deep biology or life sciences research experience to create difficult scientific problems, evaluate AI model reasoning, and improve benchmarks and training datasets. This remote contractor engagement requires 40 hours per week for up to five weeks.

100% Remote

Contract, part-time

The work

You will help train and test advanced AI models and agents on biology and life sciences. The work combines scientific problem design, expert review, written feedback, and benchmark development.

You will explain why an answer is wrong or incomplete and turn real research or laboratory workflows into tasks that AI systems can learn from and be evaluated on.

• Create difficult, research-grade biology and life sciences problems.
• Review AI model and agent outputs for accuracy, scientific rigor, and reasoning quality.
• Give clear, structured feedback and explain expert-level errors.
• Build and refine benchmarks, datasets, and evaluation tasks.
• Translate research and laboratory workflows into AI training and testing tasks.
• Adapt your work as research priorities and project scope change.

What it pays and takes

This is a contractor engagement for a remote contributor with advanced scientific training. The work requires independent judgement, careful written explanations, and strong attention to detail.

• Pay: No rate is provided.
• Schedule: 40 hours per week, including 8 hours of overlap with Pacific Time.
• Duration: Up to five weeks.
• Location: Worldwide and remote.
• Language: Professional fluency in English.
• Education: PhD in biology or a related life sciences field.
• Research: Hands-on research experience is required, ideally supported by peer-reviewed publications.
• Relevant fields include molecular biology, genetics, biochemistry, cell biology, neuroscience, immunology, microbiology, bioinformatics, and computational biology.
• Skills: Create challenging scientific problems, explain complex reasoning clearly in writing, work independently, and maintain close attention to detail.
• Helpful experience: Python, R, command-line tools, scientific computing, data analysis, computational biology, bioinformatics pipelines, or laboratory-to-data workflows.
• Additional background in AI training, model evaluation, data annotation, benchmark creation, postdoctoral research, or industry research and development is useful.

About AI training work

AI training is the human work behind systems that generate and understand information. Experts create examples, review model responses, and explain errors so AI systems can become more accurate and useful; specialized knowledge is important when the work involves fields such as biology.