Remote AI Documentation Reviewer & Policy Auditor

AuraOne Human Data

United States

Remote

USD 34,000 - 83,000

Part time

14 days+
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Job summary

AuraOne Human Data seeks a remote Technical Writer / Editor for AI Documentation Review to assess outputs against domain workflows, policies, and tone requirements. You will identify escalation needs and capture actionable next steps to guide model training.

Responsibilities include grading tone, policy adherence, and stakeholder fit using structured rubrics, flagging risks, and adjudicating discrepancies with published guidelines.

Qualifications

  • Direct working experience in domain writing on real teams for Technical Writer / Editor --- AI Documentation 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 domain writing workflows, playbooks, and firm policy for Technical Writer / Editor --- AI Documentation 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
Domain writing

Job description

AuraOne Human Data seeks a remote Technical Writer / Editor for AI Documentation Review to assess outputs against domain workflows, policies, and tone requirements. You will identify escalation needs and capture actionable next steps to guide model training.

Responsibilities include grading tone, policy adherence, and stakeholder fit using structured rubrics, flagging risks, and adjudicating discrepancies with published guidelines.

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