Mercor is collaborating with a leading AI lab to engage experienced accounting professionals across all areas of practice — including audit, tax, financial reporting, bookkeeping, controllership, forensic, and accounting systems.
Contributors help build AI systems that reason about real accounting work by translating everyday accounting workflows, judgments, and decision-making into structured, high-quality training data.
More About the Opportunity
Open to all accounting specialties — contribute where your expertise is strongest.
Work spans task design, evaluation, and structured feedback on AI accounting outputs.
Strong contributors advance into reviewer, lead, and domain-expert roles.
Application Process
Submit a resume or a short summary of your accounting experience.
Complete a short form on your practice area, specialties, and certifications.
Selected applicants may complete a brief sample task.
Follow-up typically provided within a few days.
Responsibilities
Design realistic accounting scenarios and tasks drawn from your day-to-day work (e.g., financial statement preparation, reconciliations, journal entries, audit procedures, tax filings, month-end close, internal controls).
Review and compare AI-generated accounting outputs for accuracy, standards compliance (GAAP/IFRS), and sound professional judgment.
Create structured examples that reflect how accountants actually reason through problems.
Provide clear written feedback that improves how AI performs accounting tasks.
Collaborate asynchronously with the research team.
Required skills
CPA, CA, ACCA, CMA, EA, or an equivalent professional credential required.
Preferred skills
3+ years of professional experience in accounting, audit, tax, bookkeeping, or finance operations (public accounting, corporate/in-house, advisory, or a firm).
Bachelor's degree in Accounting, Finance, or a related field.
Comfortable with common accounting tools (e.g., QuickBooks, NetSuite, SAP, Oracle, Excel).
Strong written communication and attention to detail.
Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.