AI Training & Operations Quality Reviewer

AuraOne

United States

On-site

USD 34,000 - 62,000

Part time

14 days+
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Job summary

AuraOne is seeking a Training & Development Specialist contractor to evaluate AI outputs within training operations workflows. You will review workflow correctness, policy adherence, and stakeholder fit, flag operational risk, and document the right next steps for the modeling team.

In this remote, US-eligible role, you will work asynchronously for at least 10 hours per week, using multi-page rubrics to ensure consistency and clear reasoning when applying policies.

Qualifications

  • Direct working experience in training development specialist 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.

Responsibilities

  • Review AI outputs against current training development specialist operations workflows, playbooks, and firm policy for Training & Development Specialist 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
Training Development specialist

Job description

AuraOne is seeking a Training & Development Specialist contractor to evaluate AI outputs within training operations workflows. You will review workflow correctness, policy adherence, and stakeholder fit, flag operational risk, and document the right next steps for the modeling team.

In this remote, US-eligible role, you will work asynchronously for at least 10 hours per week, using multi-page rubrics to ensure consistency and clear reasoning when applying policies.

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