Computational Physics & Astrophysics Researcher (Task)

You will turn computational physics and astrophysics research into evaluation tasks for AI models. The tasks should reflect real scientific-computing problems and have solutions that can be checked reproducibly.

You will use work you have implemented, run, debugged, and validated. Each task should include a main problem, connected subproblems, a Python reference solution, tests, and clear standards for judging results.

• Design original tasks based on computational research you have completed.
• Work with simulations, numerical solvers, data-reduction pipelines, model fits, and related scientific-computing problems.
• Define metrics and evaluation standards without relying on withheld information.
• Revise tasks in response to structured review feedback.
• Optionally review and calibrate tasks submitted by other experts in your field.

This is remote, flexible independent-contractor work with no fixed weekly schedule.

• Pay: $100 per hour.
• Schedule: Flexible, with no fixed weekly schedule and no stated cap on the number of tasks you may take on.
• Location: Remote and open to candidates in the listed eligible countries.
• Language: Professional fluency in English.
• Education or research: Research-track Bachelor's study or research experience, current Master's or PhD study, postdoctoral experience, or candidate experience in physics, astrophysics, applied physics, or a closely related field.
• Technical skills: Hands-on experience writing your own code, preferably in Python, to simulate or analyze physical systems.
• Task design: Ability to turn an authentic computational research problem into a clear task with a reference solution and tests.
• Work style: Ability to work independently and manage your own time as a flexible contractor.
• Contract requirements: Ability to work as an independent contractor without visa sponsorship. F-1 students, including OPT and CPT participants, are not eligible.
• Useful background: Condensed-matter or statistical physics, atomic, molecular, and optical physics, photonics, electromagnetics, astrophysics, cosmology, gravitation, nuclear, particle, plasma, fluid dynamics, nonlinear physics, or continuum mechanics.
• Helpful evidence: Public code, a thesis, or papers demonstrating computational work.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training work uses human-created examples and reviews to help improve artificial intelligence systems. In this role, your scientific tasks and evaluations help assess whether AI models can solve complex computational problems accurately and reproducibly.