{"html":"<p>Turn computational work from your own math research into paid evaluation tasks for AI models. Open to research-track Bachelor's students, Master's and PhD students, postdocs, and recent graduates.</p>\n<p>AfterQuery is building a network of researchers to author and validate research-grade scientific-computing tasks for AI models.</p>\n<p>A strong task is a real piece of computational work from your own research, something you've actually run and debugged: a numerical solver, an optimization routine, a simulation, a statistical model, or an algorithm 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 mathematics itself, not from withheld information.</p>\n<p>We're looking for researchers in: numerical analysis and scientific computing; numerical linear algebra; differential equations and dynamical systems; optimization and operations research; probability, stochastic processes, and uncertainty quantification; computational statistics; discrete mathematics and algorithms; computational geometry, topology, and number theory; and inverse problems.</p>\n<h4>Requirements</h4>\n<ul>\n<li>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 mathematics, applied mathematics, statistics, or a closely related field.</li>\n<li>Technical: Hands-on experience writing your own code, preferably Python, to implement or validate mathematical methods. Familiarity with Python or machine learning alone isn't enough.</li>\n<li>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.</li>\n</ul>\n<h4>Contract and pay</h4>\n<p>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.</p>\n<p>All accepted experts undergo standard background and identity verification.</p><h3>Responsibilities</h3><ul><li>Design and author original research-grade evaluation tasks based on your own computational work</li><li>Specify the metrics a strong solution should be judged by, without publishing the exact passing thresholds</li><li>Revise tasks based on structured review feedback until they&#39;re approved</li><li>Optionally review and calibrate tasks submitted by other experts in your domain</li></ul><h3>Requirements</h3><ul><li>Bachelor&#39;s student on a research track or with research experience, Master&#39;s or PhD student, postdoc, or recent graduate in mathematics, applied mathematics, statistics, or a closely related field</li><li>Has written their own code, preferably in Python, to implement or validate mathematical methods</li><li>Able to turn your own computational research into a well-specified task with a reference solution and tests</li><li>Able to work independently and manage your own time. This is flexible, task-based work with no fixed weekly schedule</li></ul><h3>Preferred qualifications</h3><ul><li>Research experience in numerical methods, optimization, stochastic processes, or computational topology or number theory</li><li>Public code, a thesis, or papers that show your computational work</li><li>Prior experience in data annotation, data labeling, or AI/ML evaluation work</li></ul>"}