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Role Overview
Mercor is partnering with a leading AI research organization to engage experienced accountants for a project focused on evaluating how well AI systems perform real-world accounting work.
Rather than producing deliverables yourself, you will define what excellent work looks like: designing task-specific grading criteria and scoring completed work samples with rigorous, well-reasoned written justifications.
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Key Responsibilities
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Design precise, task-specific grading criteria for real-world accounting deliverables (reconciliations, close packages, financial statements and disclosures, workpapers, technical accounting memos)
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Score AI-generated and human work samples against those criteria, with detailed written justifications for every score
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Apply consistent, evidence-based judgment so that scores are reproducible and defensible
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Incorporate structured feedback from senior reviewers and iterate quickly on your work
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Ideal Qualifications
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5+ years of professional accounting experience
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Background in audit, assurance, or advisory at leading global accounting firms, or in senior accounting roles at large public companies
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CPA or equivalent professional certification strongly preferred
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Deep fluency in the day-to-day craft: US GAAP application, month-end close, account reconciliations, financial statement preparation and disclosures, and audit-ready workpapers
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Exceptionally strong written communication, with the ability to explain exactly why a piece of work does or does not meet professional standards
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Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers
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Prior experience with AI training, evaluation, or human-data projects is a strong plus
