Graduate Student AI Evaluator

What You'll Do7

• Judge drafts and model outputs against the standards of your discipline, reading them the way a specialist would rather than a general audience.
• Flag errors, vague claims, missing steps and unstated assumptions that a lay reviewer would let pass.
• Write a structured rationale for every accept, reject or revision call so the decision can be audited.
• Read and comment on figures, schematics, spectra, maps, clinical scans, artworks or charts that carry the argument in your field.
• Draft expert-level reference content when a project needs calibration answers or comparison material.
• Clear the assigned annotation queue inside each project window, roughly 10 to 20 hours of work a week.
• Take on only the projects that fit around coursework, lab hours and qualifying exams.

Requirements11

• Enrollment right now in a PhD, Master's, MD or MD/PhD program.
• Fluency in the visual conventions of your field, whether that means reading spectra, tracing schematics, interpreting maps, assessing clinical images or doing formal visual analysis.
• Ability to explain in writing why a judgment holds, with reasoning another expert can follow.
• Reliable internet access and comfort working asynchronously and remotely.
• Strong written English.
• Preferred: candidacy or beyond with qualifying exams done, or MS3/MS4 status with clinical rotations under way.
• Preferred: active research that uses image or visual data such as microscopy, imaging, diagrammatic modeling, CAD, GIS, spectroscopy or archival visual material.
• Preferred: past work in annotation, data labeling or AI evaluation.
• Preferred: hands-on familiarity with large language models and multimodal systems.
• Preferred: quantitative methods training from a science, social science, business or engineering track.
• Preferred: affiliation with a top research university or a program with strong standing in your discipline.

Who Should Apply

A PhD candidate, master's student or MD/MS3-4 with real depth in one discipline and the writing to defend a judgment. Researchers who already work with visual data (microscopy, GIS, CAD, imaging, spectra) and who have labeled or evaluated material for AI systems fit best.

Salary Insight