Remote AI Financial Annotation & Risk Auditor

AI Trainer Jobs; United States; Remote; USD 28,000 - 41,000; Full time

Job summary

AI Trainer Jobs is seeking a Financial Document Annotation Specialist for a remote contractor role evaluating AI outputs in finance and risk workflows. Reviewers grade calculations, narrative reasoning, and policy adherence; flag compliance issues, and document 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 workpapers for training.

Qualifications

• Direct working experience with finance and risk on real engagements, transactions, or audits for Financial Document Annotation Specialist work.
• A CPA, CFA, or ACA credential or equivalent applied experience.
• Comfort applying multi-page rubrics consistently across long batches.
• 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 Financial Document Annotation Specialist 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

attention to detail

data privacy

data validation

document annotation

financial literacy

guideline interpretation

organizational skills

Education

CPA / CFA / ACA

Job description

AI Trainer Jobs is seeking a Financial Document Annotation Specialist for a remote contractor role evaluating AI outputs in finance and risk workflows. Reviewers grade calculations, narrative reasoning, and policy adherence; flag compliance issues, and document 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 workpapers for training.