The work

You will turn computational work from your own research into evaluation tasks for AI models. Suitable source material includes numerical solvers, optimization routines, simulations, statistical models and implemented algorithms across areas such as scientific computing, differential equations, numerical linear algebra, stochastic processes, computational statistics, discrete mathematics, geometry, topology, number theory and inverse problems. Each submission needs a main problem, connected subproblems, a reference solution and tests, with difficulty arising from the mathematics rather than missing information.

What AfterQuery screens for

The screen focuses on whether you have personally written and debugged code that implements or validates a mathematical method. You should be ready to explain a concrete research computation, its mathematical assumptions, validation strategy, failure modes and suitability as an evaluation task. Python is preferred, but familiarity with Python or machine learning without hands-on computational mathematics research is not sufficient. Public code, a thesis or papers showing computational work are preferred, as is prior data annotation, data labeling or AI/ML evaluation experience.

Contract and logistics

This is flexible, task-based independent-contractor work with no fixed weekly schedule. A task typically takes about two hours, then may require revisions following structured review; experts may also review other submissions against a short rubric. The listing does not explicitly confirm a remote-work policy. Contractors must be able to work without visa sponsorship, students on F-1 visas, including OPT or CPT, are not eligible, and accepted experts undergo identity and background verification.

Pay band: $100/hr