Remote Agentic AI Operations QA Reviewer

AuraOne

United States

On-site

USD 55,104 - 96,432

Part time

14 days+
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Job summary

AuraOne is seeking an Agentic AI Expert contractor to evaluate outputs within agentic AI specialist operations workflows. You will review, grade, and document actionable next steps to help the modeling team improve.

This remote, US-eligible role requires strong attention to detail, consistent rubric application, and clear written reasoning about policy and workflows. Expect ~10 hours per week with flexible scheduling.

Qualifications

  • Direct working experience in agentic ai specialist operations on real teams for Agentic AI Expert 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 agentic ai specialist operations workflows, playbooks, and firm policy for Agentic AI Expert 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
Agentic AI specialist operations
AI model evaluation

Job description

AuraOne is seeking an Agentic AI Expert contractor to evaluate outputs within agentic AI specialist operations workflows. You will review, grade, and document actionable next steps to help the modeling team improve.

This remote, US-eligible role requires strong attention to detail, consistent rubric application, and clear written reasoning about policy and workflows. Expect ~10 hours per week with flexible scheduling.

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