Remote Robot Teleoperator QA Reviewer

AI Trainer Jobs

United States

Remote

USD 96,000 - 138,000

Full time

2 days ago
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Job summary

AuraOne is seeking a Robot Teleoperator reviewer to work remotely in the US. You will evaluate AI outputs across robot teleoperator workflows, grade workflow correctness, policy adherence, and stakeholder fit, and document next steps for the modeling team.

You will use a structured rubric to judge tone, escalation logic, and risk, flag gaps, and help improve automation. The role requires experience with robot teleoperator operations, comfort applying multi-page rubrics, and reliable async

Qualifications

  • Direct working experience in robot teleoperator specialist operations on real teams.
  • Comfort applying multi-page rubrics consistently across long batches.
  • Clear written reasoning that names the policy or workflow being applied.
  • Strong attention to detail and the ability to flag when a prompt itself is the problem.
  • Reliable async availability for at least 10 hours per week.

Responsibilities

  • Review AI outputs against robot teleoperator workflows, playbooks, and firm policy for Robot Teleoperator assignments.
  • Grade tone, escalation logic, and stakeholder fit on a structured rubric.
  • Flag operational risk, missed escalations, and policy-adherence gaps with severity tags.
  • Capture the right next step so the modeling team can train on it.
  • Adjudicate disputed treatments against published playbooks or firm guidance.

Skills

Robot Teleoperator ops
Rubric application
Written reasoning
Attention to detail
Async availability

Tools

AI tooling

Job description

AuraOne is seeking a Robot Teleoperator reviewer to work remotely in the US. You will evaluate AI outputs across robot teleoperator workflows, grade workflow correctness, policy adherence, and stakeholder fit, and document next steps for the modeling team.

You will use a structured rubric to judge tone, escalation logic, and risk, flag gaps, and help improve automation. The role requires experience with robot teleoperator operations, comfort applying multi-page rubrics, and reliable async

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