Robot evaluation
Decide whether a robot completed a task, failed, or needs expert review.
ApplyAnnotate AI data. Earn volunteer hours.
High school students label robot videos, verify AI-generated labels, and evaluate model outputs for university labs and startups. Accepted, quality-checked work earns documented volunteer hours. No research experience required.
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How volunteering works.
- 01
Learn one bounded task from examples and pass a short qualification.
- 02
Review small batches of real AI or robotics data using a clear rubric.
- 03
Automatic checks and independent reviews catch disagreement.
- 04
Researchers approve final work and accepted submissions earn volunteer hours.
Clear questions. Visible evidence.
Volunteers never make expert technical decisions. Researchers define the rubric and keep final approval.
Failure identification
Mark the first visible failure and choose from researcher-defined categories.
Action timing
Confirm when grasping, moving, placing, opening, or releasing begins and ends.
Model evaluation
Compare outputs, verify automatic labels, and flag ambiguous examples.
Give students a real way into research.
Join an early volunteer cohort or bring us one carefully scoped university or startup pilot.