Moonlight MCQA - Chinese (Simplified) Finance

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

Job summary

Moonlight MCQA - Chinese (Simplified) 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.

Responsibilities include reviewing AI outputs against standards, re-performing calculations, tagging issues with severity scores, and capturing the corrected workpaper for model

Qualifications

• Direct working experience with finance and risk on real engagements, transactions, or audits for Moonlight MCQA - Chinese (Simplified) Finance work.
• Familiarity with AI-assisted close, audit, or risk tooling and its failure modes.
• Clear written reasoning that cites standards, regulations, or firm policy.

Responsibilities

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

ACA

Job description

Moonlight MCQA - Chinese (Simplified) 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 citations, severity tags, and the corrected calculation alongside the original.
Review financial reasoning and accounting treatment. Audit logic and risk work too.

Category: Finance, Accounting & Economic AI · Pay: $40–$49 / hr · Location: Remote — US-eligible · Contractor

Moonlight MCQA - Chinese (Simplified) Finance is a remote review track for evaluating AI outputs across finance and risk workflows.

Role details

About the role

Moonlight MCQA - Chinese (Simplified) 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 citations, severity tags, and the corrected calculation alongside the original.
Review financial reasoning and accounting treatment. Audit logic and risk work too.

Responsibilities

• Review AI outputs against current finance and risk standards, regulations, and firm policy for Moonlight MCQA - Chinese (Simplified) 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.Track Finance & risk review Work model Remote · Independent specialist contractor Compensation $40–$49 / hr Eligible from US

What you should bring

• Direct working experience with finance and risk on real engagements, transactions, or audits for Moonlight MCQA - Chinese (Simplified) Finance 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.

Example tasks

• Re-perform a finance and risk calculation produced by a model and flag any rounding or classification errors.


• Grade a model's narrative reasoning on a complex transaction and rate the citation quality.


• Adjudicate a disputed treatment between two reviewers using current standards.


• Audit a 25-row batch for rubric consistency and report drift to the program lead.

Useful experience

• Big Four, bulge-bracket, or in-house controller / risk experience.


• Familiarity with AI-assisted close, audit, or risk tooling and its failure modes.


• Bilingual experience for cross-jurisdiction reviews.

Compensation and schedule

$40–$49 / hr
Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

Skills used in matching

• Financial analysis


• Audit-grade review


• Regulatory standards


• Risk assessment


• Finance and risk