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Mercor, in collaboration with a leading AI lab, seeks experienced corporate/accounting professionals to translate day-to-day bookkeeping into high-quality training data for AI that reasons about real accounting work. You will oversee general ledger, month-end close, financial reporting, and control procedures, while evaluating AI outputs for GAAP compliance and accuracy.
This role emphasizes clear written feedback and asynchronous collaboration with researchers to improve AI-driven close and
Mercor is collaborating with a leading AI lab to engage experienced corporate / controllership accountants. You'll translate the day-to-day of running the books — financial reporting, the month-end close, and core accounting operations — into structured, high-quality training data that teaches AI to reason about real accounting work.
Financial accounting & reporting, bookkeeping / client accounting services (CAS), accounting operations (AP / AR / payroll).
Design realistic scenarios from your controllership work — financial statement preparation, journal entries, account & bank reconciliations, month-end / period-end close, fixed-asset & depreciation schedules, accruals and prepaids
Review and compare AI-generated accounting outputs for accuracy, GAAP compliance, and sound professional judgment
Provide clear written feedback that improves how AI performs close and reporting tasks
Collaborate asynchronously with the research team
CPA, or 3-5+ years of corporate/in-house or firm accounting experience (no niche certification required)
Hands-on ownership of the general ledger and the period-end close
Bachelor's degree in Accounting, Finance, or a related field
Comfortable with common accounting tools (QuickBooks, NetSuite, SAP, Oracle, Excel)
Strong written communication and attention to detail