Financial Reporting and Audit AI Training Expert

You will review financial and business documents used to train and evaluate AI systems. Your work will focus on accuracy, completeness, clarity, logical structure, accounting standards, and regulatory alignment.

You will provide clear written and verbal feedback on project materials and help develop and evaluate datasets through annotation, labeling, and model evaluation tasks.

• Review and annotate financial reports and statements for accuracy, completeness, and compliance with accounting standards.
• Assess audit procedures, identify gaps and good practices, and consider regulatory implications in business scenarios.
• Create and evaluate financial models for logical structure, accuracy, and useful insights.
• Analyze tax compliance practices and documentation, including risks and compliance issues.
• Review legal and financial documents for clarity, correctness, and regulatory alignment.

What it pays and takes

This is a part-time contractor role listed as entry level, with substantial accounting or finance experience required. Prior AI experience is not required.

• Pay: $60 to $120 per hour.
• Time: 20 or more hours per week.
• Location: United States.
• Language: English.
• Education: Bachelor's degree or higher in accounting, finance, economics, or a related field.
• Experience: Substantial experience preparing and auditing financial statements.
• Knowledge: Cost accounting, budgetary controls, taxation, and government regulations.
• Strengths: Clear written and verbal communication and careful attention to data accuracy.
• Relevant backgrounds: CPA, cost accountant, financial auditor, general accountant, internal auditor, or revenue tax specialist.
• Helpful qualifications: CPA, CMA, or CIA certification; experience implementing financial systems and controls; or experience with data labeling, annotation, or model evaluation.

How it works

Apply on OpenTrain with your resume and then complete the application on the hiring site.

About AI training work

AI training work uses human review and feedback to help AI systems handle real-world information. People with accounting and finance expertise are needed to judge whether model outputs are accurate, complete, clear, and consistent with professional standards.