Strategic Project Lead (Robotics)

AI Trainer Jobs; United States; Remote; USD 55,000 - 83,000; Part time

Job summary

AuraOne is seeking a Strategic Project Lead (Robotics) for a remote contractor role. You will review robotics outputs against real-world physical-AI constraints, grade perception and motion choices, and document corrected behavior to train models.

You will flag failure modes, use structured incident taxonomies, and ensure safety envelopes are respected during assessments. Reliable async availability for at least 10 hours per week is expected.

Qualifications

• Hands-on experience with robotic, autonomous, or teleoperated systems.
• Ability to reason about perception, motion planning, and safety envelopes.
• Familiarity with incident taxonomies and severity scoring.
• Clear written reasoning naming failure modes and the standard being applied.
• Reliable asynchronous availability for at least 10 hours per week.

Responsibilities

• Review outputs against current safety standards and operating envelopes for Strategic Project Lead (Robotics) 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.

Skills

Robotics experience

Perception review

Motion safety

Incident taxonomy

Async availability 10h/wk

Tools

Simulation environments

Trajectory-replay tooling

Job description

Strategic Project Lead (Robotics) 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.

Category: Robotics & Embodied AI · Pay: Hourly rate confirmed after the interview process · Location: Remote — US-eligible · Contractor

About the role

Strategic Project Lead (Robotics) 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 Strategic Project Lead (Robotics) 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.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 Strategic Project Lead (Robotics) 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.

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