Remote AI QA & Policy Analyst for Support Emails

AI Trainer Jobs

United States

Remote

USD 96,000 - 138,000

Part time

45 hours ago
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Job summary

AI Trainer Jobs is seeking a remote contractor for the role of Customer Support Email Analyst. You will evaluate AI outputs within customer operations workflows, grade tone and escalation logic, and document the next steps to help train the modeling team.

The position requires direct experience in customer operations, meticulous rubric application, and clear written reasoning naming the policies used. Async availability of 10+ hours per week is expected.

Qualifications

  • Direct working experience in customer operations on real teams for Customer Support Email Analyst 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 customer operations workflows, playbooks, and firm policy for Customer Support Email Analyst 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

Operational review
Policy adherence
Workflow judgment
Stakeholder communication
Customer operations

Tools

AI tooling

Job description

AI Trainer Jobs is seeking a remote contractor for the role of Customer Support Email Analyst. You will evaluate AI outputs within customer operations workflows, grade tone and escalation logic, and document the next steps to help train the modeling team.

The position requires direct experience in customer operations, meticulous rubric application, and clear written reasoning naming the policies used. Async availability of 10+ hours per week is expected.

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