Equity Research AI Evaluator

AI Trainer Jobs; United States; Remote; USD 55,000 - 124,000; Part time

Benefits offered by this job

Hourly rate discussed after interview

Job summary

AI Trainer Jobs is seeking an Equity Research AI Evaluator to remotely review AI outputs in finance and risk workflows. You will grade calculations, narrative reasoning, and policy adherence, flag issues, and document corrected workpapers for training.

Prerequisites include CPA/CFA/ACA or equivalent, with direct finance/risk engagement experience and strong written reasoning citing standards and regulations. Remote, contractor role with 10 hrs/week minimum.

Qualifications

• Direct working experience with finance and risk on real engagements, transactions, or audits.
• CPA, CFA, or ACA credential; comparable equivalents accepted.
• Ability to apply multi-page rubrics consistently.
• Clear written reasoning citing standards, regulations, or firm policy.
• Reliable asynchronous availability for at least 10 hours per week.

Responsibilities

• Review AI outputs against current finance and risk standards, regulations, and firm policy.
• 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 for model training; remote independent contractor.

Skills

Financial analysis

Audit-grade review

Regulatory standards

Risk assessment

Finance and risk

Quantitative finance and economics

AI evaluation

Rubric writing

Expert review

Education

CPA

CFA

ACA

Job description

About the role

Equity Research AI Evaluator 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 Equity Research AI Evaluator 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 Equity Research AI Evaluator 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.

Role signals

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


• Quantitative finance and economics


• AI evaluation


• Rubric writing


• Expert review