Retail Operations QA Reviewer (Remote Contractor)

AI Trainer Jobs

United States

Remote

USD 110,000 - 220,000

Part time

47 hours ago
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Job summary

AI Trainer Jobs is seeking reviewers for a remote, independent specialist contractor role focused on evaluating AI outputs in Retail / Clienteling operations. You will assess workflow correctness, policy adherence, and stakeholder fit using structured rubrics and document next steps for model training.

Ideal candidates have hands-on experience with retail/clienteling operations, strong written reasoning, and the ability to flag issues across long rubric batches.

Qualifications

  • Direct working experience in retail / clienteling professionals 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.

Responsibilities

  • Review AI outputs against current retail / clienteling professionals specialist operations workflows, playbooks, and firm policy for Retail / Clienteling professionals 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.

Skills

Operational review
Policy adherence
Workflow judgment
Stakeholder communication

Tools

AI-assisted tooling

Job description

AI Trainer Jobs is seeking reviewers for a remote, independent specialist contractor role focused on evaluating AI outputs in Retail / Clienteling operations. You will assess workflow correctness, policy adherence, and stakeholder fit using structured rubrics and document next steps for model training.

Ideal candidates have hands-on experience with retail/clienteling operations, strong written reasoning, and the ability to flag issues across long rubric batches.

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