Senior Accountant for AI Model Training (Remote)

YO IT Consulting; Georgia; On-site; USD 80,000 - 100,000; Part time

Job summary

YO IT Consulting is seeking a Senior Accountant to evaluate AI-generated financial calculations and ensure accuracy in accounting practices. With over 7 years of accounting experience, you will work remotely and challenge AI models on various real-world accounting scenarios.

The ideal candidate has a strong background in GAAP and financial reporting, along with a bachelor's degree in accounting or finance. Experience with AI data evaluation is a significant advantage.

Qualifications

• 7+ years of professional accounting experience in financial reporting and month-end close.
• Deep knowledge of GAAP, journal entries, and account analysis.
• Experience with AI data training or evaluating AI-generated content is a plus.

Responsibilities

• Evaluate AI-generated accounting calculations and journal entries for accuracy.
• Challenge AI with realistic accounting prompts involving financial reporting.
• Provide structured feedback on model errors and reasoning gaps.

Skills

Professional accounting experience

Knowledge of GAAP

Financial statement preparation

Variance analysis

Understanding of internal controls

Experience in audit support

Proficient in reconciliations

Education

Bachelor’s degree in Accounting or Finance

CPA or CMA

Job description

Job Type: Contractor

Location: Remote

Role Description

If you’re a senior accountant who thrives on precision, judgment, and analytical rigor, this is a unique opportunity to contribute directly to how the next generation of AI systems reason through accounting concepts, financial reporting standards, and real-world business scenarios. We’re looking for experienced accounting professionals who understand financial statements, journal entries, reconciliations, accruals, revenue recognition, audit readiness, internal controls, tax considerations, and management reporting. You’ll challenge advanced language models on accountant-specific topics such as GAAP application, adjusting entries, month-end close, variance analysis, lease accounting, inventory valuation, cash flow classification, and financial statement interpretation to strengthen model accuracy and reasoning. Upload your resume, complete a short AI interview to understand your background, experience, and interest in the role, and then wait for follow-up communication within a few days with next steps and onboarding details.

Your Profile

• 7+ years of professional accounting experience, with significant hands-on work in financial reporting, month-end close, reconciliations, audit support, or accounting operations.
• Deep knowledge of core accounting principles, including GAAP, accrual accounting, journal entries, financial statement preparation, and account analysis.
• Strong understanding of internal controls, audit documentation, variance analysis, revenue recognition, expense classification, and accounting policy application.
• Proven experience interpreting financial data, identifying discrepancies, and explaining accounting judgments clearly to business stakeholders.
• Demonstrated experience in reviewing complex accounting work for accuracy, consistency, and compliance with professional standards.
• Bachelor’s degree in Accounting, Finance, or a closely related field required; CPA, CMA, master’s degree, or equivalent advanced accounting credential strongly preferred.
• Previous experience with AI data training, annotation, or evaluating AI-generated technical content is a strong plus.
  
  

Key Responsibilities

• Evaluate AI-generated accounting explanations, calculations, journal entries, financial statement analyses, and scenario-based responses for accuracy, completeness, and professional judgment.
• Challenge advanced language models with realistic accounting prompts involving financial reporting, audit procedures, reconciliations, internal controls, and accounting policy interpretation.
• Review and refine AI-generated prompts and responses to ensure they reflect sound accounting logic, clear communication, and appropriate professional standards.
• Provide structured feedback on model errors, reasoning gaps, unsupported assumptions, and areas where responses may misinterpret accounting rules or business context.
• Shape AI communication standards by helping models explain accounting concepts clearly, accurately, and appropriately for professional and business audiences.
• Support benchmarking efforts by designing, reviewing, and validating accounting tasks that measure model performance across varying levels of complexity.
• Identify edge cases where AI systems may produce technically plausible but incorrect accounting conclusions.