Remote Insurance Claims AI Auditor

AI Trainer Jobs; United States; Remote; USD 55,000 - 83,000; Full time

Benefits offered by this job

Remote work

Hourly contractor role

Job summary

AuraOne is seeking an Insurance Claims AI Evaluator to remotely review AI outputs across insurance workflows. Reviewers grade calculations, narrative reasoning, and policy adherence; flag issues and document the correct treatment so the modeling team can train on it.

You will re-perform calculations, tag compliance and risk issues with structured severity scores, and capture the corrected workpaper to support ongoing model improvement.

Qualifications

• Direct working experience with insurance on real engagements, transactions, or audits for Insurance Claims AI Evaluator work.
• A CPA, CFA, or ACA. A comparable credential or equivalent applied experience also works.
• Comfort applying multi-page rubrics consistently across long batches.
• Clear written reasoning that cites standards, regulations, or firm policy.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Review AI outputs against current insurance standards, regulations, and firm policy for Insurance Claims AI Evaluator assignments.
• Re-perform calculations and flag rounding, classification, or treatment errors.
• Tag compliance, reconciliation, and disclosure issues with structured severity scores.
• Capture the corrected workpaper or narrative so the modeling team can train on it.
• Adjudicate disputed treatments against published standards or firm guidance.

Skills

Financial analysis

Audit-grade review

Regulatory standards

Risk assessment

Insurance

Enterprise operations

AI evaluation

Rubric writing

Expert review

Education

CPA

CFA

ACA

Job description

AuraOne is seeking an Insurance Claims AI Evaluator to remotely review AI outputs across insurance workflows. Reviewers grade calculations, narrative reasoning, and policy adherence; flag issues and document the correct treatment so the modeling team can train on it.

You will re-perform calculations, tag compliance and risk issues with structured severity scores, and capture the corrected workpaper to support ongoing model improvement.