WFH.teamOpen app$125k-$250k
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flexible
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What this posting tells you
Fully remote contractor role for computational life-science specialists with prior paid AI-training or model-evaluation experience. Work includes creating technical tasks and evaluating AI-generated code and analyses. Pay is listed as $60–$120 per hour equivalent, paid per accepted task; task availability and completion time may vary. Commitment is 15+ hours per week, with a flexible schedule. Country eligibility should be checked on the official posting.
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Global
Experienced specialist; formal level not specified · Contractor
- Eligible hiring countries are not stated
Backend hiring on WFH.team
This role's listed pay is near the median among 200 comparable roles shown here. Category counts come from WFH.team's latest published remote job market snapshot.
Explore the remote job marketAI Trainer (Life Sciences) at micro1
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.
Working remotely at micro1
micro1 builds human-expertise data and evaluation infrastructure for AI models and agents. It recruits core-team employees and domain experts for AI training projects.
- Headquarters
- San Francisco Bay Area, California, United States
- Founded
- 2022
Expert opportunities are remote and can be flexible. International applicants are considered, subject to country exclusions and each project's requirements. Core-team work arrangements vary by opening; check the individual posting.
Apply through the official posting. Expert applicants complete an AI interview and skills certification, followed by project selection and onboarding. Certification does not guarantee a project or immediate work.