Remote AI QA Auditor for Computational Engineering

AI Trainer Jobs; United States; Remote; USD 96,000 - 131,000; Part time

Job summary

AI Trainer Jobs is seeking a Computational Engineering Expert to remotely evaluate AI outputs across computational engineering workflows. You will assess workflow correctness, policy adherence, and stakeholder fit, flag operational risk, and document the right next steps so the modeling team can train on it.

Applicants should have hands-on experience in computational engineering operations, plus the ability to apply multi-page rubrics consistently, provide clear written reasoning, and maintain

Qualifications

• Experience in computational engineering operations on real teams.
• 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 computational engineering workflows, playbooks, and firm policy for 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

Computational Engineering operations

Tools

AI tooling

Job description

AI Trainer Jobs is seeking a Computational Engineering Expert to remotely evaluate AI outputs across computational engineering workflows. You will assess workflow correctness, policy adherence, and stakeholder fit, flag operational risk, and document the right next steps so the modeling team can train on it.

Applicants should have hands-on experience in computational engineering operations, plus the ability to apply multi-page rubrics consistently, provide clear written reasoning, and maintain