Financial Analyst - Fully Remote | Upto $160/hr

Obsidian; Toronto; Remote; CAD 90,000 - 130,000; Full time

Job summary

Mercor, in partnership with a leading AI research organization, seeks experienced accountants to define task-specific grading criteria for real-world accounting deliverables and to score both AI-generated and human samples with rigorous, written explanations.

The role emphasizes deep knowledge of US GAAP, month-end close, reconciliations, and financial statement preparation, with a strong emphasis on precision, consistency, and defensible judgments.

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 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.

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

Detail-oriented

AI training experience

Education

CPA or equivalent certification

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