AI Trainer (Life Sciences)

Frontier AI Lab; United States; A distancia; USD 83.000 - 165.000; Jornada completa

Descripción de la vacante

Remotebridge is seeking a remote contractor to craft life-science AI training tasks, write instructions, build reproducible environments, and establish reference solutions and rubrics for evaluation.

The role requires strong Python skills and deep life-science knowledge, with hands-on experience in computational methods for modeling, bioinformatics, statistics, or reproducible research. Flexible schedule and 15+ hours per week.

Formación

• 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 life-science specialization.
• Hands-on experience using computational methods for modeling, simulation, bioinformatics, biomedical analysis, statistics, or reproducible research.

Responsabilidades

• 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.

Conocimientos

Python

Life-science expertise

Benchmark AI tasks

Herramientas

NumPy

SciPy

pandas

Biopython

PyTorch

JAX

Descripción del empleo

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

Location: Global, fully remote

Job Type: Contractor

Time Commitment: 15+ hours per week

Schedule: Flexible

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

• 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.

Compensation

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