Remote AI QA Reviewer for Mechanical Eng Ops

AI Trainer Jobs; United States; Remote; USD 96,000 - 152,000; Part time

Job summary

AI Trainer Jobs in the United States is seeking remote reviewers for a specialized Mechanical Engineers operations QA track. You will evaluate AI outputs against workflows, grade tone, policy adherence, and stakeholder fit, and flag any operational risk.

The role is contractor-based with flexible hours. You will document the right next steps so the modeling team can train on it, and you will work with experienced operators to emulate a senior peer's judgment.

Qualifications

• Direct working experience in mechanical engineers specialist operations.
• Clear written reasoning naming the policy or workflow being applied.
• Reliable async availability for at least 10 hours per week.
• Experience training, calibrating, or QA-ing operations teams.
• Familiarity with AI-assisted workflow tooling and its failure modes.

Responsibilities

• Review AI outputs against current mechanical engineers specialist operations workflows, playbooks, and firm policy for Mechanical Engineers 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

Mechanical engineering ops

Policy adherence

Attention to detail

Async availability

Bilingual experience

Tools

AI tooling

Job description

AI Trainer Jobs in the United States is seeking remote reviewers for a specialized Mechanical Engineers operations QA track. You will evaluate AI outputs against workflows, grade tone, policy adherence, and stakeholder fit, and flag any operational risk.

The role is contractor-based with flexible hours. You will document the right next steps so the modeling team can train on it, and you will work with experienced operators to emulate a senior peer's judgment.