At a Glance
- Tasks: Define grading criteria and evaluate AI performance in real-world accounting tasks.
- Company: Join a leading AI research organisation focused on innovative accounting solutions.
- Benefits: Competitive salary, flexible work arrangements, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and continuous improvement.
- Why this job: Shape the future of accounting by evaluating AI systems and making a real impact.
- Qualifications: 5+ years in accounting, CPA preferred, with strong communication skills.
The predicted salary is between 59400 - 72600 £ per year.
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.
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.
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.
Accounting Expert - CPA Preferred employer: Obsidian
At Obsidian, we pride ourselves on fostering a collaborative and innovative work culture that empowers our ML Scientists to push the boundaries of machine learning research. Located in a vibrant tech hub, we offer competitive compensation, flexible project-based work, and ample opportunities for professional growth, making us an excellent employer for those looking to make a meaningful impact in the field of AI.
