Scientific Computing Research Expert

What You'll Do4

• Design original evaluation tasks around computational research you have run, debugged, or been paid to deliver.
• Write the scoring criteria that a strong solution must meet, while keeping exact passing thresholds out of the published task.
• Revise each task in response to structured reviewer notes until it clears approval.
• Take on optional peer review and calibration for tasks from other experts in your field.

Requirements7

• Hold or pursue a PhD with hands-on research, or hold a master's with a research-active record: thesis enrollment, an RA or lab post, a publication, or a clear PhD path.
• Use Python at a working level to run and debug your own computational work.
• Turn your research computations into a clear evaluation task with defined inputs and expected outputs.
• Set your own schedule for task-based work with no fixed weekly hours.
• Show an active publication record as a PhD student, postdoc, or faculty member.
• Show experience with scientific computing, data analysis, simulation, or numerical methods.
• Bring prior work in data annotation, data labeling, or AI/ML evaluation.

Who Should Apply

Researchers across life, physical, earth, mathematical, and engineering sciences who can turn a real computational workflow into a well-defined AI evaluation task will find a strong fit here. A PhD in progress or completed, or a research-active master's, plus working Python skills, matters more than a job title from industry.

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