Overview
AfterQuery is a research lab investigating the boundaries of artificial intelligence through novel datasets and experimentation. This role involves authoring research-grade evaluation tasks based on your own computational research work—real problems from your PhD, postdoc, or active research that you've run and debugged.
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 exact passing thresholds
- Revise tasks based on structured review feedback until 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 research-active record (thesis-based enrollment, RA role, publication, or 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
Who Should Apply
This suits researchers—PhD students, postdocs, or active Master's students—who have real computational work they've debugged and understand deeply, and who think clearly about evaluation criteria and problem specification. It will frustrate people who want a predictable weekly schedule, those without hands-on research experience they can draw from, or researchers more comfortable writing papers than designing measurable benchmarks.
Salary Insight
$125 per task (roughly 2 hours of work each) equals $62.50/hour—reasonable for expert-level independent contract work. There's no fixed income, so earnings depend on how many tasks you author and have approved. The pay structure rewards efficiency and clarity in task design; tasks that pass review faster improve your hourly take-home.
Required Skills
Compensation
$125 per approved task
- Location
- Remote
- Engagement
- Contract
- Posted
- 5d ago
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