College Student - AI Robotics Trainer (No Experience Required)
Quick facts
- Type
- Contract
- Location
- Remote — US-eligible
- Hours
- 10+ hours / week
- Background
- Students welcome
- Platform
- Aura One — 3510 open jobs
- Typical pay at Aura One
- $20–150/hour · median $80 (1547 jobs on our site)
- Apply
- Free to apply — never pay to get AI training work
About the role
College Student - AI Robotics Trainer (No Experience Required) is a remote review track for evaluating robotics review outputs against real-world physical-AI constraints. Reviewers grade trajectory choices, perception assumptions, and safety envelopes; flag failure modes; and document the corrected behavior so the modeling team can train on it.
Robotics review systems run in the physical world, where a confident-looking failure can hurt someone. AuraOne uses experienced robotics and operations reviewers to grade outputs against perception, motion, and safety constraints.
Review teleoperation, navigation, and manipulation work. Physical-world safety is part of it.
Responsibilities
- Review robotics review outputs against current safety standards and operating envelopes for College Student - AI Robotics Trainer (No Experience Required) assignments.
- Grade perception, motion, and decision logic on a structured rubric.
- Flag near-miss and unsafe trajectories with severity tags that match incident taxonomies.
- Capture the corrected behavior or reference trajectory so the modeling team can train on it.
Role details
Track Robotics & physical AI review Work model Remote · Independent specialist contractor Compensation Hourly rate confirmed after the interview process. Eligible from US
What you should bring
- Hands-on experience with robotic, autonomous, or teleoperated systems. Operating, supervising, or evaluating them for College Student - AI Robotics Trainer (No Experience Required) work.
- Comfort reasoning about perception, motion planning, and physical safety envelopes.
- Familiarity with structured incident taxonomies and severity scoring.
- Clear written reasoning that names the failure mode and the standard being applied.
- Reliable async availability for at least 10 hours per week.
Role signals
Example tasks
- Grade a robotics review model's chosen trajectory and flag any near-miss or unsafe motion.
- Score a perception output against ground-truth labels and rate the failure category.
- Adjudicate a disputed safety call between two reviewers using firm operating procedures.
- Audit a 25-trajectory batch for rubric consistency and report drift to the program lead.
Useful experience
- Background in robotics engineering, autonomy operations, or industrial safety.
- Prior experience reviewing AI-assisted robotics tooling and its failure modes.
- Familiarity with simulation environments and trajectory-replay tooling.
Compensation and schedule
Hourly rate confirmed after the interview process.
Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.
Skills used in matching
- Robotics evaluation
- Perception review
- Motion safety
- Incident taxonomy
- Robotics review
- AI model evaluation
Application boundary
Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.
Specialist intake
The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.
- 01 Confirm profile and eligibility details.
- 02 Attach this role deliberately.
- 03 Receive a human review decision or follow-up.
Placement timing depends on program demand and reviewer confirmation.
About Aura One
AuraOne runs a human-data job board where AI labs hire professionals to evaluate and train models. Listings range from entry-level AI evaluation specialists to registered nurses, administrative professionals and scenario designers.