Mercor is looking to solve the problem of evaluating, refining, and verifying AI outputs in areas such as accounting standards, audit practices, financial reporting, compliance, and risk assessment.
Requirements
- Strong technical accounting proficiency, including knowledge of GAAP, IFRS, and other relevant reporting/regulatory frameworks across financial, managerial, and cost accounting domains
- Expertise in core accounting processes, such as financial reporting, budgeting, tax compliance, month-end close, account reconciliations, revenue recognition, lease accounting, consolidations, and internal controls
- Experience in specialized/applied areas such as forensic accounting (fraud detection, investigations), government accounting (public sector compliance), nonprofit/fund accounting (donor tracking, grant reporting), or cross-border accounting (GAAP vs. IFRS, transfer pricing, foreign exchange)
- Professional certifications such as CPA, CA, CMA, or ACCA are highly valued
- Knowledge of accounting standards, audit practices, financial reporting, compliance, and risk assessment
Responsibilities
- Review and refine AI-generated accounting analyses, audit reports, and financial statements
- Validate AI outputs for compliance with GAAP, IFRS, and other relevant standards
- Provide structured feedback on clarity, accuracy, and adherence to accounting principles
- Tag and organize content by accounting topic, industry sector, or complexity level
- Support benchmarking efforts to assess AI model capabilities in financial domains
Other
- Bachelor’s degree in Accounting, Finance, or a related quantitative field
- 2+ years of professional accounting experience, ideally at top-tier public accounting firms (e.g., Big Four – Deloitte, PwC, EY, KPMG), Fortune 500 corporate finance/accounting departments, or in specialized contexts such as government, nonprofit/fund, forensic, or international/cross-border accounting
- Excellent analytical, documentation, and communication skills, with the ability to distill complex accounting concepts into clear, actionable guidance for both technical and non-technical stakeholders
- Commitment: Part-time (15–25 hours/week, with flexibility up to 40 hours/week)
- Schedule: Fully remote and asynchronous – flexible working hours
