Biology AI Training Expert (Netherlands)

Remote, USA • Full-time • Posted 2026-05-31
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Location: Remote

Type: Contract / Part-time

Commitment: 20 hours per week

Compensation: Up to 40 USD / hr

Project duration: 2 months, with potential extension

Availability: Immediate start

About the role
We create high-quality STEM training data for frontier AI models used by leading AI labs to improve model reasoning in scientific domains.
We are seeking experts in Biology to create challenging, deterministic problems with exactly one verifiable correct answer. Problems should reflect authentic scientific and analytical workflows and be submitted with complete, verified solutions.
Depending on specialization, work may include molecular biology, genetics, systems biology, computational biology, bioinformatics, or adjacent quantitative biology fields.

What you’ll do
Design advanced biology problems that challenge frontier AI systems

Create deterministic tasks with one correct answer

Submit complete, verified solutions

Build problems involving experimental reasoning, biological systems, computational analysis, or bioinformatics workflows

Use Python and, when relevant, specialized biology or bioinformatics tools

Ensure high standards of rigor, reproducibility, and technical clarity

What we’re looking for
Bachelor's, Master’s or PhD in Biology or a related life sciences field

Research or industry experience involving computational or quantitative biological analysis

Strong Python skills; experience with data analysis or bioinformatics workflows preferred

Strong reasoning ability and comfort with multi-step scientific problem solving

Ability to create original, difficult problems grounded in real biological practice

Clear written English and strong attention to detail

Nice to have
Experience with bioinformatics toolkits, genomics workflows, structural biology tools, or computational biology methods

Experience designing technical assessments or scientific challenge problems

Cross-disciplinary experience spanning biology and computation

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