Remote AI QA Reviewer: Engineering & Built Environment

AI Trainer Jobs; United States; Remote; USD 124,000 - 152,000; Full time

Job summary

Engineering & Built Environment Experts is a remote review track for evaluating AI outputs across engineering built environment experts specialist operations workflows. Reviewers grade workflow correctness, policy adherence, and stakeholder fit; flag operational risk; and document the right next step so the modeling team can train on it.

Engineering Built Environment Experts specialist operations AI has to fit into an actual day at work.

Qualifications

• Direct working experience in engineering built environment experts specialist operations on real teams for Engineering & Built Environment Experts 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 engineering built environment experts specialist operations workflows, playbooks, and firm policy for Engineering & Built Environment Experts 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

Specialist operations

Tools

AI-assisted workflow tooling

Job description

Engineering & Built Environment Experts is a remote review track for evaluating AI outputs across engineering built environment experts specialist operations workflows. Reviewers grade workflow correctness, policy adherence, and stakeholder fit; flag operational risk; and document the right next step so the modeling team can train on it.

Engineering Built Environment Experts specialist operations AI has to fit into an actual day at work.