Public Admin AI QA Reviewer (Remote)

AuraOne

United States

Remoto

USD 83.000 - 152.000

Part-time

13 giorni fa

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Descrizione del lavoro

AuraOne is seeking a remote Public Administrator reviewer to evaluate AI outputs across public administrator operations workflows. You will assess workflow correctness, policy adherence, and stakeholder fit, flag operational risk, and document next steps for model training.

This role emphasizes precise rubric application and clear, written reasoning. The position is contractor-based, with a focus on a flexible schedule and a minimum of 10 hours per week, supporting ongoing program needs and

Competenze

  • Direct working experience in public administrator 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.

Mansioni

  • Review AI outputs against current public administrator operations workflows, playbooks, and firm policy for Public Administrator 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.

Conoscenze

Operational review
Policy adherence
Workflow judgment
Stakeholder communication
Public Admin ops

Descrizione del lavoro

AuraOne is seeking a remote Public Administrator reviewer to evaluate AI outputs across public administrator operations workflows. You will assess workflow correctness, policy adherence, and stakeholder fit, flag operational risk, and document next steps for model training.

This role emphasizes precise rubric application and clear, written reasoning. The position is contractor-based, with a focus on a flexible schedule and a minimum of 10 hours per week, supporting ongoing program needs and

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