AI Domain Review Specialist (Remote)

AuraOne; United States; Remote; USD 34,000 - 83,000; Full time

Job summary

AI Trainer Jobs is seeking an AI Domain Expert to remotely review and grade AI outputs against company playbooks and policies. You will judge workflow correctness, tone, escalation logic, and stakeholder fit, documenting the right next steps for model training.

This contractor role requires clear written reasoning, strong attention to detail, and reliable async availability of at least 10 hours per week. Placement depends on program demand and reviewer confirmation.

Qualifications

• Direct working experience in ai domain specialist operations on real teams for AI Domain Expert 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 ai domain specialist operations workflows, playbooks, and firm policy for AI Domain Expert 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

Direct working experience

Rubrics-driven review

Written reasoning

Attention to detail

Async availability

Bilingual experience

Tools

AI-assisted workflow tooling

Job description

AI Trainer Jobs is seeking an AI Domain Expert to remotely review and grade AI outputs against company playbooks and policies. You will judge workflow correctness, tone, escalation logic, and stakeholder fit, documenting the right next steps for model training.

This contractor role requires clear written reasoning, strong attention to detail, and reliable async availability of at least 10 hours per week. Placement depends on program demand and reviewer confirmation.