Computational Mathematics Researcher (Task Author)
Listing checked October 16, 2026 · pay as published by AfterQuery
Overview
AfterQuery builds a network of researchers who turn real computational math into evaluation tasks for AI models. You would take a numerical solver, optimization routine, simulation, or statistical model from your own work and shape it into a main problem, connected subproblems, a Python reference solution, and tests. Difficulty should come from the mathematics, not from hidden information. Tasks go through review, and you can also calibrate tasks from other experts. Numerical analysis, optimization, and stochastic processes are some of the areas in demand.
What You'll Do6
- 1Design evaluation tasks from your own computational research, making sure each task starts with a real problem you have run and debugged.
- 2Write a main problem and a few connected subproblems that test mathematical understanding.
- 3Build a Python reference solution and validation tests for every task.
- 4Define the metrics a strong solution should meet, while keeping exact passing thresholds private.
- 5Rework tasks after structured review feedback until they gain approval.
- 6Review and calibrate tasks from other experts in your domain when you choose to.
Requirements8
- 1Bachelor's student on a research track with research experience, Master's or PhD student, postdoc, or recent graduate in mathematics, applied mathematics, statistics, or a related field.
- 2Hands-on experience writing your own code, with Python as the preferred language, to implement or validate mathematical methods. Knowing Python or machine learning without that research coding background is not enough.
- 3Ability to turn your computational research into a well-specified task with a reference solution and tests.
- 4Independent work habits with the discipline to manage a flexible, task-based schedule.
- 5Work authorization as an independent contractor without visa sponsorship. F-1 visa holders, including OPT and CPT, are not eligible.
- 6Research background in numerical methods, optimization, stochastic processes, computational topology, or number theory.
- 7Public code, a thesis, or papers that demonstrate your computational work.
- 8Prior work in data annotation, data labeling, or AI/ML evaluation.
Who Should Apply
The ideal candidate holds a math, applied math, or statistics degree at the research-track Bachelor's, Master's, PhD, postdoc, or recent-grad level and writes Python code to implement or test mathematical methods. They can package a numerical solver, optimization routine, or simulation into a clear task with a reference solution and tests.
Salary Insight
Pay reaches $100/hr, delivered as $200 per approved task that takes about two hours. There is no cap on how many tasks you take on. That rate matches the research-level coding and mathematics that each task requires.
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Compensation
$100/hr
Required Skills
Application Tip
When you apply, include a link to public code, a thesis, or a paper that shows Python work you wrote to implement or validate a mathematical method. Add one concrete calculation from your research that could become a task, and be ready to state your institution, degree program, year, field, and work authorization.
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