Remote AI Output QA Specialist — Production Operations

AI Trainer Jobs; United States; Remote; USD 28,000 - 41,000; Full time

Job summary

AI Trainer Jobs is seeking a Production Specialist for a remote, US-eligible contractor role focused on evaluating AI outputs within production workflows. Reviewers assess workflow correctness, policy adherence, and stakeholder fit, and document next steps to train the model.

The role emphasizes operating with a senior-peer approach, auditing tool use, and applying enterprise playbooks to ensure quality and risk mitigation across batches. Flexible hours up to 10 hours weekly are expected.

Qualifications

• Direct working experience in production specialist 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 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 production specialist operations workflows, playbooks, and firm policy for Production 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

Operational review

Policy adherence

Workflow judgment

Stakeholder communication

Production specialist operations

Active listening

Precision hand-tool mastery

Technical blueprint literacy

Terminal entry skills

Bilingual experience

Tools

AI-assisted workflow tooling

Job description

AI Trainer Jobs is seeking a Production Specialist for a remote, US-eligible contractor role focused on evaluating AI outputs within production workflows. Reviewers assess workflow correctness, policy adherence, and stakeholder fit, and document next steps to train the model.

The role emphasizes operating with a senior-peer approach, auditing tool use, and applying enterprise playbooks to ensure quality and risk mitigation across batches. Flexible hours up to 10 hours weekly are expected.