Financial Data Privacy Analyst

AI Trainer Jobs; United States; Remote; USD 96,000 - 124,000; Full time

Benefits offered by this job

Remote work

Job summary

AI Trainer Jobs seeks a Financial Data Privacy Analyst to remotely review AI outputs across finance and risk workflows. You will audit calculations, narrative reasoning, and policy adherence, flag issues, and document the correct treatment for modeling training.

AuraOne uses experienced finance-and-risk professionals to grade outputs with citations, severity tags, and corrected calculations alongside the original. This is a contractor role with remote, US-eligible placement.

Qualifications

• Direct working experience with finance and risk on real engagements, transactions, or audits for Financial Data Privacy Analyst work.
• CPA, CFA, or ACA credential; comparable credential or equivalent applied experience.
• 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 finance and risk standards, regulations, and firm policy for Financial Data Privacy Analyst 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

Financial Data Privacy Analyst 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.

Category: Finance, Accounting & Economic AI · Pay: $70–$90 / hr · Location: Remote — US-eligible · Contractor

Financial Data Privacy Analyst is a remote review track for evaluating AI outputs across finance and risk workflows.

Role details

About the role

Financial Data Privacy Analyst 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 Financial Data Privacy Analyst 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 Hourly rate confirmed after the interview process. Eligible from US

What you should bring

• Direct working experience with finance and risk on real engagements, transactions, or audits for Financial Data Privacy Analyst 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

Hourly rate confirmed after the interview process.
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

Application boundary

Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.

Specialist intake

The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.
- 01 Confirm profile and eligibility details.
- 02 Attach this role deliberately.
- 03 Receive a human review decision or follow-up.
Placement timing depends on program demand and reviewer confirmation.