Computational Physics & Astrophysics Researcher (Task Author)

About this role

Turn computational work from your own physics research into paid evaluation tasks for AI models. Open to research-track Bachelor's students, Master's and PhD students, postdocs, and recent graduates. AfterQuery is building a network of researchers to author and validate research-grade scientific-computing tasks for AI models. A strong task is a real piece of computational work from your own research, something you've actually run and debugged: a simulation, a numerical solver, a data-reduction pipeline, or a model fit you implemented and validated. Each task has a main problem, a few connected subproblems, a Python reference solution, and tests that check the result. The difficulty should come from the physics itself, not from withheld information. We're looking for researchers in: condensed-matter and statistical physics; atomic, molecular, and optical physics; photonics and electromagnetics; astrophysics, cosmology, and gravitation; nuclear, particle, and plasma physics; fluid dynamics and nonlinear physics; and continuum mechanics. Requirements Education: A Bachelor's student on a research track or with research experience (such as an REU, a thesis, or an RA or lab role), a Master's or PhD student, a postdoc, or a recent graduate in physics, astrophysics, applied physics, or a closely related field. Technical: Hands-on experience writing your own code, preferably Python, to simulate or analyze physical systems. Familiarity with Python or machine learning alone isn't enough. Work authorization: Must be able to work as an independent contractor without visa sponsorship. Students on F-1 visas (including OPT/CPT) are not eligible. Contract and pay Flexible, independent-contractor work: $200 per approved task, about 2 hours each, with no cap on how many tasks you take on. Tasks go through review, and you may also review other experts' tasks against a short rubric. All accepted experts undergo standard background and identity verification.

Skills & domains

• ai-training
• expert
• research
• science