Computational Engineering Researcher (Task Author)
AfterQuery Experts · Global · AI model evaluation
Computational Engineering Researcher (Task Author) is an open role at AfterQuery Experts, with pay listed as $100/hr.
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At a glance
- Pay
- $100/hrStated by AfterQuery Experts
- Location
- Not stated in the listing
- Work type
- AI model evaluation
- Field
- Science / STEM
- Listed
- Since Oct 16, last confirmed Oct 23
How the pay compares
Higher than 66% of the 106 distinct hourly rates advertised for Science / STEM roles right now. Hourly USD, top of each advertised range, one count per distinct rate. Same method as the Pay Index.
From AfterQuery Experts’ listing
“<p>Turn computational work from your own engineering research into paid evaluation tasks for AI models.”
Show the full listing
<p>Turn computational work from your own engineering 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> <p>AfterQuery is building a network of researchers to author and validate research-grade scientific-computing tasks for AI models.</p> <p>A strong task is a real piece of computational work from your own research, something you've actually run and debugged: a finite-element or CFD solver, a reaction-engineering model, a physiological model, or a structural or electromagnetic simulation 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 engineering science itself, not from withheld information.</p> <p>We're looking for researchers in: computational mechanics and finite-element methods; computational fluid dynamics; aerospace numerical modeling; chemical and reaction engineering; biomedical and physiological modeling; civil and structural computational mechanics; environmental modeling; and computational electromagnetics.</p> <p><strong>Requirements</strong></p> <ul> <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 mechanical, aerospace, chemical, biomedical, civil, environmental, or electrical engineering with a computational focus.</li> <li>Technical: Hands-on experience writing your own code, preferably Python, to implement or validate engineering models and solvers. Using commercial software (such as ANSYS, COMSOL, or Abaqus) without your own code isn't enough.</li> <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> </ul> <p><strong>Contract and pay</strong></p> <p>F
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Frequently asked questions
How do I apply for the Computational Engineering Researcher (Task Author) role at AfterQuery Experts?
Applications go through AfterQuery Experts's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. AfterQuery Experts's access model is "Open / self-serve" (Join network). This listing was first seen here on October 16, 2026 and was still live at the last check.
Is the Computational Engineering Researcher (Task Author) role at AfterQuery Experts remote?
This role is listed as open globally.
What does the Computational Engineering Researcher (Task Author) role at AfterQuery Experts pay?
AfterQuery Experts lists this role's pay as $100/hr, quoted from the listing rather than estimated.
What kind of work is Computational Engineering Researcher (Task Author)?
AI model evaluation. Agent evaluation, model training, writing, ML and professional-domain work
Is AfterQuery Experts a legitimate AI-training platform?
Direct expert network - and that relationship is rated "Confirmed" here because it can be checked against experts.afterquery.com rather than taken on AfterQuery Experts's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.
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