Remote Robotics Data Quality Reviewer

AuraOne; United States; On-site; USD 55,000 - 96,000; Full time

Job summary

AuraOne seeks a remote Robotics Data Quality Reviewer contractor to evaluate robotics review outputs against safety envelopes and real-world constraints. You will grade trajectories, perception assumptions, and decision logic, flag near-miss cases, and document corrected behavior for training.

This role requires hands-on experience with robotic systems, clear written reasoning naming failure modes and standards, and reliable availability of at least 10 hours per week.

Qualifications

• Hands-on experience operating, supervising, or evaluating robotic, autonomous, or teleoperated systems.
• 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.

Responsibilities

• Review robotics review outputs against current safety standards and operating envelopes for Robotics Data Quality Reviewer 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 evaluation

Perception review

Motion safety

Incident taxonomy

Robotics review

Robotics and physical AI

AI evaluation

Rubric writing

Expert review

Job description

AuraOne seeks a remote Robotics Data Quality Reviewer contractor to evaluate robotics review outputs against safety envelopes and real-world constraints. You will grade trajectories, perception assumptions, and decision logic, flag near-miss cases, and document corrected behavior for training.

This role requires hands-on experience with robotic systems, clear written reasoning naming failure modes and standards, and reliable availability of at least 10 hours per week.