AI Trainer (Life Sciences)

About the Role

micro1 is looking for computational life scientists who already have paid AI-training or model-evaluation experience. The project challenges advanced AI systems with realistic biomedical and life-science computing problems, and you define what a correct answer looks like.

What You'll Do

• Write realistic computational life-science tasks that push advanced models
• Prepare instructions, reproducible environments, reference solutions and grading criteria
• Evaluate model-generated code, analyses, models and experiments
• Catch invalid biological assumptions, methodology errors, data leakage, statistical problems and reproducibility failures

Requirements

• Prior paid work training, evaluating or benchmarking AI systems on scientific or technical tasks
• Strong practical Python
• Deep expertise in a life-science area (e.g. computational biology, bioinformatics, genomics, neuroscience, biomedical science, ecology, evolution)
• Hands-on computational modeling, simulation, bioinformatics, statistics or reproducible research
• Public proof of skill: publications/preprints, research code, Google Scholar/ORCID, competition results, open-source or public datasets/notebooks
• Nice to have: writing rubrics, graders or benchmarks; reviewing other trainers' work; NumPy, SciPy, pandas, Biopython, PyTorch, JAX; agentic AI evaluations

Compensation & Logistics

• Pay: $60-$120 per hour equivalent, paid per task that meets project specifications (output-based)
• Minimum weekly task submissions apply; task availability and completion time vary
• Contractor, 15+ hours per week, flexible schedule
• Fully remote, global
• Process: application with public evidence, AI interview with technical and integrity checks, hiring-manager review, onboarding; contract signing within 24h and start within 24-48h expected