Remote AI Workflow Auditor - Studio Speakers Ops

AI Trainer Jobs

United States

Remote

USD 117,000 - 131,000

Part time

2 days ago
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Job summary

Studio Speakers is a remote review track for evaluating AI outputs across studio speakers specialist operations workflows. Reviewers grade workflow correctness, policy adherence, and stakeholder fit; flag operational risk; and document the right next step so the modeling team can train on it.

Studio Speakers specialist operations AI has to fit into an actual day at work. AuraOne uses experienced operators to grade outputs the way a senior peer would — checking workflow, policy, and the unwritten

Qualifications

  • Direct working experience in Studio Speakers specialist operations on real teams for Studio Speakers 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 studio speakers specialist operations workflows, playbooks, and firm policy for Studio Speakers 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.

Skills

Studio Speakers ops
Rubrics consistency
Policy reasoning
Attention to detail
Async availability

Job description

Studio Speakers is a remote review track for evaluating AI outputs across studio speakers specialist operations workflows. Reviewers grade workflow correctness, policy adherence, and stakeholder fit; flag operational risk; and document the right next step so the modeling team can train on it.

Studio Speakers specialist operations AI has to fit into an actual day at work. AuraOne uses experienced operators to grade outputs the way a senior peer would — checking workflow, policy, and the unwritten

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