Quantitative Finance Researcher

AI Trainer Jobs; United States; Remote; USD 83,000 - 124,000; Full time

Job summary

AI Trainer Jobs is seeking a Quantitative Finance Researcher for a remote contractor role evaluating AI outputs across finance and risk workflows. Reviewers grade calculations, narrative reasoning, and policy adherence to train the modeling team with corrected treatments.

Candidates should have direct finance and risk experience, a CPA, CFA, or ACA credential (or equivalent), and the ability to apply rubrics consistently across large batches.

Qualifications

• Direct working experience with finance and risk on real engagements, transactions, or audits.
• CPA, CFA, or ACA credential or equivalent applied experience.
• Ability to apply multi-page rubrics consistently across long batches.
• Clear written reasoning citing standards, regulations, or policy.

Responsibilities

• Review AI outputs against current finance and risk standards, regulations, and firm policy for Quantitative Finance Researcher 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

Finance

AI model evaluation

Education

CPA

CFA

ACA

Job description

Quantitative Finance Researcher 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: $75 / hr · Location: Remote — US-eligible · Contractor

Quantitative Finance Researcher is a remote review track for evaluating AI outputs across finance and risk workflows.

Role details

About the role

Quantitative Finance Researcher 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 Quantitative Finance Researcher 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.

What you should bring

• Direct working experience with finance and risk on real engagements, transactions, or audits for Quantitative Finance Researcher 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

$75 / 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
• Finance
• AI model evaluation

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.