You will turn computational research into clear evaluation tasks for AI models. Your work may draw on simulations, numerical solvers, model fitting, data reduction, analysis pipelines, or inverse problems.
You will create reference solutions and result-based tests that measure whether a solution is scientifically sound. You may also review and calibrate tasks submitted by other experts using a short rubric.
- Design original computational tasks based on research you have performed, debugged, or analyzed.
- Define the main problem, related subproblems, and metrics for judging solution quality.
- Build reference solutions and tests without relying on withheld information.
- Revise tasks in response to structured review feedback until approval.
- Review and calibrate other experts' tasks in your area of expertise.
What it pays and takes
This is a flexible, task-based independent contractor role.
- Pay: $100 per hour.
- Arrangement: Independent contractor and task-based.
- Location: Open to candidates in the countries listed for this project, including the United States, Canada, the United Kingdom, Australia, India, and others.
- Language: Professional fluency in English.
- Research background: A PhD in progress or completed, or a research-active Master's background supported by thesis research, a research assistant or lab role, a publication, or a clear PhD trajectory.
- Technical skill: Working proficiency in Python, including the ability to run and debug computational work.
- Core ability: Turn personal computational research into a well-specified AI evaluation task.
- Relevant areas may include computational biology, physics, materials science, chemistry, geochemistry, remote sensing, oceanography, and coastal modeling.
- Useful experience includes scientific computing, data analysis, simulation, numerical methods, data annotation, data labeling, or AI and machine-learning evaluation.
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, reviewing, and testing model outputs. OpenTrain helps people find these projects, build a profile, and apply to work that matches their skills.