Scientific Computing Research Expert, Python AI Eval Task Author (Remote, Contract, $300/approved task) — AfterQuery via AI Gig Scout

Scientific Computing Research Expert — AfterQuery via AI Gig Scout

Pay: $300/approved task · Location: Remote · Type: Contract

Full listing and apply link: https://aigigscout.com/jobs/afterquery/scientific-computing-research-expert-scientific-computing-research-expert?utm_source=kubernetesjobs&utm_medium=jobboard&utm_campaign=aigigscout_growth

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.

AfterQuery is building a network of PhD-level and PhD-pursuing researchers to author and calibrate research-grade evaluation tasks for AI models.

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.

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).

Requirements

Domain: Scientific Computing (multi-discipline research task authoring)

Experience: Active, hands-on research or technical experience in your field

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.

Technical: Working proficiency in Python. You will need to run and debug your own computational work to author a task.

Contract and pay

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 approval, and most take a round or two of revision to get there. Feedback is specific and you can resubmit.

All accepted experts undergo standard background and identity verification.

What you'll do

Design and author original research-grade evaluation tasks based on your own computational work

Specify the metrics a strong solution should be judged by, without publishing the exact passing thresholds

Revise tasks based on structured review feedback until they're approved

Optionally review and calibrate tasks submitted by other experts in your domain

Requirements

Currently pursuing or holding a PhD with active hands-on research, or a Master's with a research-active record: thesis-based enrollment, an RA or lab role, a real publication, or a clear PhD trajectory

Working proficiency in Python, enough to run and debug your own computational work

Able to turn your own computational research work into a well-specified evaluation task

Able to work independently and manage your own time. This is flexible, task-based work with no fixed weekly schedule

Preferred qualifications

Current PhD student, postdoc, or faculty actively publishing in your field

Demonstrated experience in scientific computing, data analysis, simulation, or numerical methods

Prior experience in data annotation, data labeling, or AI/ML evaluation work

Source: AI Gig Scout job page. Apply there for the original platform listing. Disclosure: posted by AI Gig Scout, an independent listing site (not AfterQuery); the apply link may be a referral link.