Remote Finance Research Auditor — AI QA & Compliance

AuraOne, Inc.; United States; A distancia; USD 83.000 - 165.000; A tiempo parcial

Descripción de la vacante

AuraOne, Inc. is seeking a Member of Technical Staff, Finance Research for a remote review track that evaluates AI outputs across finance and risk workflows.

Reviewers grade calculations, narrative reasoning, and policy adherence, and document the correct treatment to train the modeling team. You will re-perform calculations, flag rounding or classification errors, tag compliance issues with severity scores, and capture the corrected workpaper for training.

Formación

• Direct working experience with finance and risk on real engagements, transactions, or audits.
• 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.

Responsabilidades

• Review AI outputs against current finance and risk standards, regulations, and firm policy for Member of Technical Staff, Finance Research 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.
• Maintain reviewer-quality scores in inter-rater calibration cycles.

Conocimientos

Financial analysis

Audit-grade review

Regulatory standards

Risk assessment

Finance and risk

Finance

Educación

CPA

CFA

ACA

Descripción del empleo

AuraOne, Inc. is seeking a Member of Technical Staff, Finance Research for a remote review track that evaluates AI outputs across finance and risk workflows.

Reviewers grade calculations, narrative reasoning, and policy adherence, and document the correct treatment to train the modeling team. You will re-perform calculations, flag rounding or classification errors, tag compliance issues with severity scores, and capture the corrected workpaper for training.