Finance & Risk AI QA Reviewer (Remote)

AI Trainer Jobs; United States; Remote; USD 55,000 - 68,000; Part time

Job summary

Moonlight MCQA - Chinese (Traditional) Finance is a remote review track for evaluating AI outputs across finance and risk workflows. Reviewers grade calculations, narrative reasoning, and policy adherence; flag compliance and reconciliation issues; and document the correct treatment so the modeling team can train on it.

Finance and risk workflows leave no room for fuzzy reasoning. AuraOne uses experienced finance-and-risk professionals to grade AI outputs the way an audit reviewer would — with

Qualifications

• Direct working experience with finance and risk on real engagements, transactions, or audits for Moonlight MCQA - Chinese (Traditional) Finance work.
• CPA, CFA, or ACA credential (or equivalent).
• Comfort applying multi-page rubrics consistently across large batches.
• Clear written reasoning citing standards, regulations or firm policy.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Review AI outputs against current finance and risk standards, regulations, and firm policy for Moonlight MCQA - Chinese (Traditional) Finance 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.

Skills

Financial analysis

Audit-grade review

Regulatory standards

Risk assessment

Finance and risk

Education

CPA, CFA, or ACA

Job description

Moonlight MCQA - Chinese (Traditional) Finance is a remote review track for evaluating AI outputs across finance and risk workflows. Reviewers grade calculations, narrative reasoning, and policy adherence; flag compliance and reconciliation issues; and document the correct treatment so the modeling team can train on it.

Finance and risk workflows leave no room for fuzzy reasoning. AuraOne uses experienced finance-and-risk professionals to grade AI outputs the way an audit reviewer would — with