An application made for this job — a tailored resume and cover letter that speak straight to the posting.
AI Trainer Jobs is seeking a Financial Systems Expert for a remote, contractor role focused on evaluating AI outputs in finance and risk workflows. You will grade calculations, narrative reasoning, and policy adherence, flag issues, and document correct treatment to train the modeling team.
The role requires direct finance and risk experience, certified credentials, and the ability to apply detailed rubrics consistently. This is a remote, US-eligible contractor position with flexible scheduling.
Financial Systems Expert 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 Systems Expert is a remote review track for evaluating AI outputs across finance and risk workflows.
Financial Systems Expert 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.
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.
Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.
The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.
Placement timing depends on program demand and reviewer confirmation.