Remote Federal AI Workflow QA Analyst

AuraOne

United States

Remote

USD 117,000 - 131,000

Part time

44 hours ago
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Job summary

AuraOne is seeking a Federal Staff Reporting Analyst specialist to work remotely as a contractor. The role focuses on evaluating AI outputs across federal staff workflows, ensuring policy adherence, tone, and stakeholder fit, and documenting next steps for model training.

The ideal candidate will have direct federal staff operations experience, strong attention to detail, and the ability to apply complex rubrics asynchronously for at least 10 hours per week.

Qualifications

  • Direct working experience in federal staff reporting analyst specialist operations on real teams.
  • 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 federal staff reporting analyst operations workflows, playbooks, and firm policy for Federal Staff Reporting Analyst 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

Federal staff ops
Attention to detail
Policy application
Async availability

Job description

AuraOne is seeking a Federal Staff Reporting Analyst specialist to work remotely as a contractor. The role focuses on evaluating AI outputs across federal staff workflows, ensuring policy adherence, tone, and stakeholder fit, and documenting next steps for model training.

The ideal candidate will have direct federal staff operations experience, strong attention to detail, and the ability to apply complex rubrics asynchronously for at least 10 hours per week.

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