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Specialized Roles:
AI Evaluation Research Scientist Data Scientist

AI Trainer; Life Sciences

Job in Chicago, Cook County, Illinois, 60601, USA
Listing for: micro1 Inc.
Part Time position Listed on 2026-11-12
Job specializations:
  • Research/Development
    AI Evaluation, Research Scientist, Data Scientist
Salary/Wage Range or Industry Benchmark: 60 - 120 USD Hourly USD 60.00 120.00 HOUR

Job Description & How to Apply Below

Position: AI Trainer (Life Sciences)

Pay: $60–$120/hour equivalent, paid per accepted task

Location: Global, fully remote

Job Type: Contractor

Time Commitment: 15+ hours per week

Schedule: Flexible

micro1 is looking for Computational Life Scientists with prior professional AI-training or model-evaluation experience to support a project focused on improving advanced AI systems.

You will use your scientific expertise and programming skills to create challenging technical tasks, evaluate model-generated code and analyses, identify failures, and establish objective standards for correct solutions. This role is intended for candidates who have completed substantive AI-training work involving life-science or biomedical content.

What You’ll Work On
  • Create realistic computational life-science tasks that challenge advanced AI models.
  • Develop task instructions, reproducible environments, reference solutions, and evaluation criteria.
  • Evaluate model-generated code, analyses, models, experiments, and technical deliverables.
  • Identify invalid biological assumptions, methodological errors, data leakage, statistical issues, or reproducibility failures.
    • Required Qualifications
  • Prior paid experience training, evaluating, benchmarking, or improving AI systems on scientific or technical tasks.
  • Strong practical proficiency with Python.
  • Deep expertise in at least one relevant life-science specialization.
  • Hands-on experience using computational methods for modeling, simulation, bioinformatics, biomedical analysis, statistics, or reproducible research.

    • Relevant specializations may include biology, computational biology, bioinformatics, medicine and health, biomedical science, neuroscience, genomics, ecology, and evolution.

    Public Proof of Skill

    Strong applicants should provide evidence such as:

  • Peer-reviewed publications or preprints involving computational methods
  • Public research code or bioinformatics pipelines
  • Google Scholar, ORCID, or equivalent research profiles
  • Physio Net or other biomedical competition results
  • Open-source scientific software contributions
  • Public datasets, models, notebooks, or technical projects
    • Preferred Qualifications
  • Experience creating AI-training tasks, reference answers, rubrics, graders, or benchmark problems.
  • Experience reviewing other AI trainers’ technical submissions.
  • Experience with Num Py, Sci Py, pandas, Biopython, PyTorch, JAX, or comparable scientific tools.
  • Prior experience with long-horizon or agentic AI evaluations.
  • Availability to begin immediately.
    • Compensation
  • Compensation is output-based. Experts are paid for tasks that meet project specifications and quality requirements. Task availability and completion time may vary.
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