Remote Education AI Quality Reviewer

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 Education Specialist for a remote contractor role to evaluate AI outputs across education review workflows. You will grade workflow correctness, policy adherence, and stakeholder fit; flag operational risk and document the right next step for the modeling team.

Responsibilities include reviewing outputs against playbooks, rating tone and escalation logic, capturing next steps, and adjudicating disputes with firm guidance.

Qualifications

  • Direct working experience in education review on real teams for Education Specialist 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.
  • Prior experience training, calibrating, or QA-ing operations teams.
  • Familiarity with AI-assisted workflow tooling and its failure modes.

Responsibilities

  • Review AI outputs against current education review workflows, playbooks, and firm policy for Education 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.

Skills

Education review experience
Rubric application
Written reasoning
Attention to detail
Async availability
QA operations experience
Bilingual experience

Tools

AI-assisted workflow tooling

Job description

AI Trainer Jobs is seeking an Education Specialist for a remote contractor role to evaluate AI outputs across education review workflows. You will grade workflow correctness, policy adherence, and stakeholder fit; flag operational risk and document the right next step for the modeling team.

Responsibilities include reviewing outputs against playbooks, rating tone and escalation logic, capturing next steps, and adjudicating disputes with firm guidance.

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