Remote AI Annotation QA Analyst — Label & Policy Audit

AuraOne Human Data

United States

Remote

USD 28,000 - 69,000

Full time

14 days+
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Job summary

AuraOne Human Data is seeking a Quality Analyst for AI Annotation Audit & Label Consistency Review. This remote contractor role evaluates AI outputs across workflows, grades workflow correctness, policy adherence, and stakeholder fit, and documents next steps to train the modeling team.

You will work independently, review rubrics, flag escalation gaps, and maintain reviewer quality scores. Remote US-eligible with at least 10 hours per week.

Qualifications

  • Direct working experience in quality analyst specialist operations on real teams for Quality Analyst --- AI Annotation Audit & Label Consistency Review work.
  • 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 current quality analyst specialist operations workflows, playbooks, and firm policy for Quality Analyst --- AI Annotation Audit & Label Consistency Review 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.
  • Maintain reviewer-quality scores in inter-rater calibration cycles.

Skills

Operational review
Policy adherence
Workflow judgment
Stakeholder communication
Quality Analyst specialist operations

Job description

AuraOne Human Data is seeking a Quality Analyst for AI Annotation Audit & Label Consistency Review. This remote contractor role evaluates AI outputs across workflows, grades workflow correctness, policy adherence, and stakeholder fit, and documents next steps to train the modeling team.

You will work independently, review rubrics, flag escalation gaps, and maintain reviewer quality scores. Remote US-eligible with at least 10 hours per week.

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