Why this role stands out
This remote, part-time role offers you the chance to shape the future of AI in biology, developing critical thinking skills by creating challenging problems for cutting-edge AI models. If you have a strong biology background and a knack for analytical problem-solving, you'll thrive in this dynamic opportunity to contribute to groundbreaking AI advancements. Apply today to leverage your expertise and gain valuable experience in the rapidly evolving AI landscape.
Quick overview
Job description
Location: Remote
Type: Contract / Part-time
Commitment: 20 hours per week
Compensation: Up to 40 USD / hr
Project duration: 2 months, with potential extension
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
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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