AI QA Engineer - Technical Docs & Workflows (Remote)

AI Trainer Jobs

United States

Remote

USD 83,000 - 124,000

Part time

3 days ago
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Job summary

AI Trainer Jobs is seeking an Engineering & Technical Documentation Specialist for a remote, contractor role to evaluate AI outputs across engineering documentation operations workflows. Reviewers grade workflow correctness, policy adherence, and stakeholder fit; flag operational risk and document the next steps to train the model.

Responsibilities include reviewing outputs against current playbooks, grading tone and escalation logic, and capturing actionable next steps for the modeling team.

Qualifications

  • Must have direct working experience in engineering technical documentation operations on real teams.
  • Ability to apply multi-page rubrics consistently across long batches.
  • Clear written reasoning that names the policy or workflow being applied.
  • Strong attention to detail and 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 engineering technical documentation workflows, playbooks, and firm policy.
  • 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
Engineering Technical Documentation

Job description

AI Trainer Jobs is seeking an Engineering & Technical Documentation Specialist for a remote, contractor role to evaluate AI outputs across engineering documentation operations workflows. Reviewers grade workflow correctness, policy adherence, and stakeholder fit; flag operational risk and document the next steps to train the model.

Responsibilities include reviewing outputs against current playbooks, grading tone and escalation logic, and capturing actionable next steps for the modeling team.

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