About this role
The work
You will turn real computational biology and bioinformatics research into research-grade evaluation tasks for AI models. The work combines scientific judgment, practical programming, and independent task-based work.
Your tasks should be based on research you have implemented, run, debugged, and validated. Examples include biological analysis pipelines, dynamical models, molecular or structural simulations, and statistical inference methods.
- Design original scientific-computing evaluation tasks grounded in your own computational biology research.
- Define a main problem and connected subproblems that test meaningful biological reasoning.
- Write Python reference solutions and tests that verify expected results.
- Set clear evaluation criteria for each task.
- Revise tasks based on structured technical feedback.
- Review and calibrate tasks submitted by other experts when needed.
What it pays and takes
This is flexible independent-contractor work with no fixed weekly schedule.
- Pay: $100 per hour.
- Task payment described in the role: $200 per approved task, with each task taking about two hours.
- Schedule: Flexible, task-based work with no fixed weekly schedule.
- Location: Open only to candidates in the countries listed for this role.
- Language: Professional fluency in English.
- Education: Research-track Bachelor's study with research experience, current Master's or PhD study, postdoctoral experience, or a recent degree in biology, bioinformatics, biostatistics, biomedical engineering, or a closely related field.
- Programming: Hands-on experience writing your own code, preferably Python, for biological analysis pipelines or models of biological systems.
- Task design: Ability to turn computational research into a clear task with a reference solution, tests, and meaningful evaluation criteria.
- Work style: Ability to work independently, manage your own time, and use technical feedback to improve your work.
- Contracting: Eligibility to work as an independent contractor without visa sponsorship.
Helpful background
Experience in specialized areas can help you create stronger scientific tasks. Public code, a thesis, published work, or previous data annotation, labeling, or AI evaluation experience can also demonstrate technical judgment.
- Genomics, single-cell analysis, or transcriptomics.
- Systems biology or biochemical networks.
- Structural biology or molecular biophysics.
- Computational neuroscience.
- Ecology, population dynamics, or epidemiology.
- Infectious disease modeling.
- Biostatistics, biomechanics, physiological modeling, or quantitative pharmacology.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training is the human work behind systems that learn from examples, including writing, coding, reviewing, and rating model outputs. OpenTrain is a platform where people find these projects, build a profile, and apply to work that matches their skills.
Requirements
- Languages: English