Job Description
Precise application of accounting standards and honest interpretation of financial records is a discipline AI systems need to learn before they can be trusted with bookkeeping and reporting tasks. Chegg is seeking accounting professionals to evaluate AI-generated accounting content, build authoritative reference solutions, and flag flawed reasoning in AI-produced financial statements and journal entries. Fully remote and asynchronous.
Core Responsibilities
- Evaluate AI-generated responses to bookkeeping, financial reporting, and taxation questions for accuracy, reasoning quality, and completeness
- Write reference-standard solutions with correct journal entries and account treatment with correct GAAP, IFRS, or applicable accounting and tax standards and clear explanations that AI models learn from
- Identify misapplied accounting standards, incorrect entries, or calculation errors in AI-produced content, tagging the specific error category
- Compare and rank multiple AI responses to the same problem, explaining which best reflects correct methodology and compliant treatment
- Test whether AI systems handle ambiguous or edge-case accounting scenarios (e.g., revenue recognition, cross-border transactions) correctly
- Create realistic synthetic accounting case studies and financial statement scenarios used to train and evaluate models
- Contribute to rubric design — defining scoring criteria such as accuracy, compliance, and clarity — used to benchmark AI performance at scale
- Complete asynchronous task batches independently — no scheduled calls or fixed hours required
Key Qualifications
- Master’s degree or PhD in Accounting, Finance, or a related field (or equivalent recognized qualification); relevant experience is a plus — postgraduate and doctoral graduates welcome
- Strong grounding in financial accounting, taxation, and audit principles under GAAP or IFRS
- Practical experience preparing or reviewing financial statements and journal entries
- Sharp eye for subtle factual, logical, or methodological error — can detect and explain flawed reasoning in plain English
- Self-directed, detail-oriented, and comfortable delivering quality work asynchronously
Nice to Have
- CPA, ACCA, CA, or an equivalent globally recognized professional certification
- Experience with XBRL financial reporting, forensic accounting techniques, or specialist standards such as IFRS 9/IFRS 17
- Experience with accounting software (QuickBooks, SAP, Xero) or ERP systems
- Prior experience in content review, QA, or AI/ML data annotation projects
Why Chegg
- Fully remote and flexible — no fixed schedule
- Task-based commitment, typically 10–40 hours per week
- Real-world challenges with direct impact on AI accuracy and safety
- Pathway to ongoing projects for high-quality contributors