Remote Product & Engineering AI QA Specialist

AI Trainer Jobs

United States

Remote

USD 97,000 - 138,000

Full time

2 days ago
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Job summary

AI Trainer Jobs is seeking a Product & Engineering Expert to remotely review AI outputs across product engineering operations. You will grade workflow correctness, policy adherence, and stakeholder fit, flag risks, and document next steps for model training.

Ideal candidates have hands-on experience with product engineering specialist operations, can apply long rubrics consistently, and provide clear written reasoning. Availability of at least 10 hours weekly is expected.

Qualifications

  • Direct working experience in product engineering specialist operations on real teams for Product & Engineering Expert 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 product engineering specialist operations workflows, playbooks, and firm policy for Product & Engineering Expert 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
Product engineering ops

Job description

AI Trainer Jobs is seeking a Product & Engineering Expert to remotely review AI outputs across product engineering operations. You will grade workflow correctness, policy adherence, and stakeholder fit, flag risks, and document next steps for model training.

Ideal candidates have hands-on experience with product engineering specialist operations, can apply long rubrics consistently, and provide clear written reasoning. Availability of at least 10 hours weekly is expected.

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