Financial Due Diligence and Transaction Accounting Reviewer

You will review transaction-related financial analyses and AI-generated deliverables. The work requires professional judgment, careful checking of evidence, and the ability to challenge assumptions and identify material errors.

• Review financial due diligence, quality-of-earnings, and carve-out financial analyses.
• Check analyses for accuracy, completeness, reconciliations, supporting evidence, and consistent accounting treatment.
• Identify unsupported adjustments, double counting, reconciliation issues, and other material errors.
• Use agentic AI tools such as Claude Code, Cursor, Codex, or Claude Cowork, then independently check the resulting work.
• Help create realistic transaction materials, task instructions, review standards, and objective grading criteria for AI systems.

This is a remote, part-time contractor role for candidates in the United States, Canada, or the United Kingdom. Individual tasks take approximately 3 hours after an initial environment-development period of approximately 15 hours.

• $60 to $120 per hour equivalent, paid per task.
• At least 10 hours per week expected, with 20 or more hours preferred.
• At least five years of substantive experience in financial due diligence, transaction services, or carve-out financial analysis.
• Direct responsibility for preparing or reviewing transaction-related analyses and deliverables.
• Hands-on experience using agentic AI tools for substantive work.
• Ability to assess assumptions, supporting evidence, reconciliations, adjustments, and accounting treatment.
• Fluent in English.
• Helpful experience includes Big Four or leading transaction advisory work, CPA qualification, benchmark development, review standards, junior-professional training, internal playbooks, or AI evaluation.

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

AI training work is the human side of building artificial intelligence. Reviewers prepare and assess examples so AI systems can produce more accurate, useful, and reliable results, and experienced professionals are needed for work that depends on specialized judgment.