Accounting Expert - CPA Preferred

Mercor; San Francisco (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

Mercor is seeking experienced accounting professionals to design and grade tasks evaluating AI performance on real-world accounting work. You will create grading criteria for reconciliations, disclosures, and close packages, and score samples with rigorous written justifications.

Your role emphasizes precise, evidence-based judgments, reproducible scoring, and collaboration with senior reviewers to refine criteria and outcomes.

Qualifications

• 5+ years of professional accounting experience.
• Background in audit, assurance, or advisory at leading global firms, or senior roles at large public companies.
• CPA or equivalent professional certification strongly preferred.
• Deep fluency in US GAAP application, month-end close, reconciliations, and disclosures, and audit-ready workpapers.
• Exceptionally strong written communication, with the ability to explain why a piece of work meets or does not meet professional standards.
• Detail-oriented, consistent, and comfortable with peer review and calibration.
• Prior experience with AI training, evaluation, or human-data projects is a strong plus.

Responsibilities

• Design precise, task-specific grading criteria for real-world accounting deliverables (reconciliations, close packages, financial statements and disclosures, workpapers, technical accounting memos).
• Score AI-generated and human work samples against those criteria, with detailed written justifications for every score.
• Apply consistent, evidence-based judgment so that scores are reproducible and defensible.
• Incorporate structured feedback from senior reviewers and iterate quickly on your work.

Skills

Accounting experience

Written communication

Attention to detail

Analytical judgment

Quality scoring

Education

CPA or equivalent

Job description

1. 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.

2. Key Responsibilities

• Design precise, task-specific grading criteria for real-world accounting deliverables (reconciliations, close packages, financial statements and disclosures, workpapers, technical accounting memos)

• Score AI-generated and human work samples against those criteria, with detailed written justifications for every score

• Apply consistent, evidence-based judgment so that scores are reproducible and defensible

• Incorporate structured feedback from senior reviewers and iterate quickly on your work

3. Ideal Qualifications

• 5+ years of professional accounting experience

• Background in audit, assurance, or advisory at leading global accounting firms, or in senior accounting roles at large public companies

• CPA or equivalent professional certification strongly preferred

• 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

• Exceptionally strong written communication, with the ability to explain exactly why a piece of work does or does not meet professional standards

• Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers

• Prior experience with AI training, evaluation, or human-data projects is a strong plus