Senior Finance, Accounting And Investment SME (English)

You will create and review high-quality finance and accounting tasks used to train and evaluate AI models. The work covers financial modeling, valuation, audit risk, and technical accounting under US GAAP or IFRS.

You will also produce benchmark solutions, score submissions against rubrics, review peer work, resolve difficult accounting or valuation cases, and use feedback to improve task quality.

• Design exercises covering three-statement models, discounted cash flow analysis, leveraged buyouts, mergers and acquisitions, audit workpapers, and technical accounting.
• Create gold-standard solutions and clear methods for finance and accounting benchmarks.
• Audit and score financial calculations, valuation methods, accounting treatments, and written documentation.
• Identify calculation errors, model logic problems, incorrect accounting standards, and documentation gaps.
• Review peer submissions, calibrate scoring, resolve unclear rubric cases, and recommend improvements.

This is a remote contractor engagement lasting 12 weeks. The listing is marked as entry level, while the role requires substantial finance or accounting experience and advanced technical skills.

• Pay: No rate or fixed payment is provided in the listing.
• Time: At least 20 hours per week, with at least four hours per day and up to 40 hours per week described for the engagement.
• Schedule: Four hours of overlap with Pacific Standard Time are required.
• Location: Remote and open worldwide.
• Language: Professional fluency in English is required.
• Experience: Three to 15 or more years in investment banking, equity research, private equity, corporate FP&A, public accounting, or internal audit.
• Technical skills: Advanced financial modeling, including balance sheet, income statement, and cash flow reconciliation.
• Knowledge: Variance analysis, valuation or audit frameworks, and US GAAP or IFRS.
• Credentials: An active CFA, CPA, CA, CMA, or equivalent credential is strongly preferred.
• Education: A bachelor's degree or equivalent practical experience is accepted.
• Helpful experience: AI evaluation, data annotation, content review, or quality assurance experience is helpful but not required.
• Work style: Careful analytical judgment and strong written communication are needed.

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

AI training is the human work behind artificial intelligence. People create examples, review model responses, and evaluate accuracy so AI systems can improve; finance specialists are needed when tasks require professional judgment in areas such as accounting, valuation, and audit. OpenTrain helps people find these projects, build a profile, and apply in one place.