Scientific Computing Research Expert

<p>Author research-grade AI evaluation tasks from your own computational work. Open to PhD-level and PhD-pursuing researchers across the sciences, math, and engineering.</p> <p>AfterQuery is building a network of PhD-level and PhD-pursuing researchers to author and calibrate research-grade evaluation tasks for AI models.</p> <p>A strong task is a real piece of computational work from your own research, something you have actually run, debugged, or been paid to do: data reduction, model fitting, simulation setup, instrument data processing, numerical solvers, or inverse problems. The difficulty should come from the science itself, not from artificially withheld information.</p> <p>We are commissioning tasks across five broad areas: Life sciences (biology, ecology, medicine, neuroscience), Physical sciences (astronomy, chemistry, materials science, physics), Earth sciences (atmospheric, environmental, geosciences, ocean), Mathematical sciences (applied mathematics, formal mathematics, operations research, statistics), and Engineering sciences (chemical, civil, electrical, mechanical).</p> <p><strong>Requirements</strong></p> <ul> <li>Domain: Scientific Computing (multi-discipline research task authoring)</li> <li>Experience: Active, hands-on research or technical experience in your field</li> <li>Education: Currently pursuing or holding a PhD, actively doing hands-on research. A Master's also qualifies if you are research-active: thesis-based enrollment, an active RA or lab role, a real publication, or a clear PhD trajectory. A Master's followed by a purely industry role with no research component is not a fit.</li> <li>Technical: Working proficiency in Python. You will need to run and debug your own computational work to author a task.</li> </ul> <p><strong>Contract and pay</strong></p> <p>This is flexible, independent-contractor work: $300 per approved task, roughly 4 hours of work each, with no cap on how many tasks you can take on. Tasks go through review before a