Remote Construction Ops AI Reviewer

AI Trainer Jobs; United States; Remote; USD 110,000 - 131,000; Full time

Benefits offered by this job

Remote work

Contractor engagement

Job summary

AI Trainer Jobs is seeking a Construction Specialist for a remote review track evaluating AI outputs across construction 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.

Construction operations AI has to fit into an actual day at work. AuraOne uses experienced operators to grade outputs the way a senior peer would — checking workflow, policy, and the

Qualifications

• Direct working experience in construction operations on real teams.
• Ability to apply multi-page rubrics consistently across long batches.
• Clear written reasoning that names the policy/workflow applied.
• Strong attention to detail and ability to flag when a prompt is problematic.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Review AI outputs against construction workflows, playbooks, and policy.
• Grade tone, escalation logic, and stakeholder fit on a rubric.
• Flag operational risk, missed escalations, and policy gaps with severity tags.
• Capture the right next step so the modeling team can train on it.
• Adjudicate disputed plays against published guidance.

Skills

Construction operations experience

Rubric-based evaluation

Written reasoning

Attention to detail

Async availability

Tools

AI workflow tooling

Job description

AI Trainer Jobs is seeking a Construction Specialist for a remote review track evaluating AI outputs across construction 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.

Construction operations AI has to fit into an actual day at work. AuraOne uses experienced operators to grade outputs the way a senior peer would — checking workflow, policy, and the