AI Trainer (Life Sciences)

Pay: $60 - $120/hour

Required Skills
Biology
Mathematics
Ecology
Materials Sciences
Earth
Climate and Oceans
Statistics
AI Training
Programming Skills
About micro1
micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.

Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.

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
PhysioNet 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 NumPy, SciPy, pandas, Biopython, PyTorch, JAX, or comparable scientific tools.
Prior experience with long-horizon or agentic AI evaluations.
Availability to begin immediately.
Application Process
Submit your application, AI-training experience, specialization, and public technical evidence.
Complete an AI interview containing technical and integrity checks.
Complete a hiring-manager review.
If selected, complete project onboarding and begin your first assigned task.

Compensation

Compensation is output-based. Experts are paid for tasks that meet project specifications and quality requirements. Task availability and completion time may vary.
Email

By clicking any of the "Continue" buttons below, you acknowledge and agree to our Terms and Privacy Policy for candidates.

Continue
or
Continue with Google
Continue with LinkedIn

Have any questions? See FAQs