Robotics Data Trainer

AuraOne, Inc.; United States; Remote; USD 55,000 - 96,000; Full time

Job summary

AuraOne, Inc. is seeking a Robotics Data Trainer to remotely evaluate robotics review outputs against real-world constraints. Reviewers assess trajectory choices, perception, and safety envelopes, flag failures, and document corrected behavior to train the modeling team.

This contractor role emphasizes careful rubric-based grading, documenting near-misses, and maintaining reviewer-quality scores. Remote work is allowed for US-eligible applicants; compensation is hourly and determined after

Qualifications

• Hands-on experience with robotic, autonomous, or teleoperated systems.
• Reasoning about perception, motion planning, and physical safety envelopes.
• Familiarity with incident taxonomies and severity scoring.
• Clear written reasoning naming the failure mode and standard.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Review robotics review outputs against current safety standards and operating envelopes for Robotics Data Trainer 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.
• Adjudicate disputed cases against published standards or firm operating procedures.
• Maintain reviewer-quality scores in inter-rater calibration cycles.

Skills

Robotics systems

Perception & motion reasoning

Incident taxonomy & severity

Clear failure-mode reasoning

Async availability 10h/wk

Job description

Robotics Data Trainer 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.

Why this role matters

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.

Responsibilities

• Review robotics review outputs against current safety standards and operating envelopes for Robotics Data Trainer 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.
• Adjudicate disputed cases against published standards or firm operating procedures.
• Maintain reviewer-quality scores in inter-rater calibration cycles.

Qualifications

• Hands-on experience with robotic, autonomous, or teleoperated systems. Operating, supervising, or evaluating them for Robotics Data Trainer 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.

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.

Nice to have

• 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.

Skills

• Robotics evaluation
• Perception review
• Motion safety
• Incident taxonomy
• Robotics review
• AI model evaluation

Work model

Remote — US-eligible. Remote · Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US.

Compensation

Hourly rate confirmed after the interview process.

Hands-on experience with robotic, autonomous, or teleoperated systems. Operating, supervising, or evaluating them for Robotics Data Trainer 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.