Remote Biology AI Trainer — Part-Time, 20h/wk

Anyone AI Inc.; Netherlands; Remote; EUR 31,000 - 49,000; Part time

Job summary

Anyone AI Inc. is seeking biology experts to design advanced, deterministic problems for frontier AI models. The role is remote, part-time (20 hours/week) for an initial 2-month project with potential extension.

You will craft tasks with exactly one verifiable answer and provide complete, verified solutions, leveraging biology and computational workflows. You'll work with Python and biology tools, applying rigorous analysis and clear writing to create assessments rooted in real biological

Qualifications

• Master’s or PhD in Biology or related life sciences field
• Experience in computational or quantitative biological analysis
• Strong Python skills and data analysis experience preferred
• Clear, multi-step scientific problem solving ability
• Ability to create original, difficult problems grounded in real biological practice
• Excellent written English and meticulous attention to detail

Responsibilities

• 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 relevant biology or bioinformatics tools
• Ensure high standards of rigor, reproducibility, and clarity

Skills

Python

Biology

Data analysis

Education

Master’s or PhD in Biology

Tools

Bioinformatics toolkits

Genomics workflows

Job description

Anyone AI Inc. is seeking biology experts to design advanced, deterministic problems for frontier AI models. The role is remote, part-time (20 hours/week) for an initial 2-month project with potential extension.

You will craft tasks with exactly one verifiable answer and provide complete, verified solutions, leveraging biology and computational workflows. You'll work with Python and biology tools, applying rigorous analysis and clear writing to create assessments rooted in real biological