AfterQuery review · AI Training & Data Labeling
Grad Student AI Evaluation Projects — AfterQuery (Masters/PhD)
What the work involves
AfterQuery — a research lab backed by Y Combinator and Box Group that builds datasets for all leading AI labs — hires currently enrolled graduate students (PhD, Master's, MD, MD/PhD) across every academic discipline for project-based AI evaluation work. You apply the expertise built through coursework, lab work and field research to assess, write and validate content that demands genuine subject-matter knowledge in your field.
Work is asynchronous and assigned project-by-project, structured to respect your academic schedule — you choose which projects to accept, with an estimated commitment of up to 10 hours per week for each project window you take on. Your domain knowledge directly shapes how AI systems understand your field, and the work reads as a meaningful addition to your research and professional portfolio.
| Pay | $50–$150/hr ($800–$1,500 per project week) |
| Type | Contract, ongoing |
| Commitment | 10–20 hrs/week per project window |
| Location | Remote, asynchronous |
| Start | ASAP |
| Application | Resume only — one step |
What you'll do
- Evaluate, write and validate content requiring genuine academic knowledge in your discipline
- Assess materials for accuracy, depth and quality as a trained specialist
- Identify errors, ambiguities and gaps invisible to non-expert reviewers
- Provide structured written rationale for every evaluation decision
- Interpret field-specific visual content: schematics, spectra, maps, clinical images, artworks, data charts
- Complete a defined set of annotation tasks within each project window (10–20 hrs/week)
Requirements & eligibility
- Currently enrolled in a PhD, Master's, MD or MD/PhD program
- Clear, well-reasoned written explanations of domain-specific judgments
- Deep familiarity with your discipline's visual conventions and technical vocabulary (reading spectra, interpreting schematics, analyzing maps, evaluating clinical images, formal visual analysis)
- Reliable internet access for asynchronous, remote work
- Strong English writing proficiency
- Preferred: candidacy stage or beyond (qualifying exams done, MS3/MS4, clinical rotations underway); research experience with image-based or visual data (microscopy, CAD, GIS, spectroscopy, archival visuals); prior annotation or AI evaluation experience; affiliation with a top research university; familiarity with AI tools and LLMs; quantitative methods training
How to apply
Applications go directly to AfterQuery. Read their terms before you sign up — and if anything feels off, run the scam check below first.
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