Finance & Accounting Task Author

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI is hiring contractors to apply their professional expertise to projects that help shape how advanced AI systems work.

• Fully remote contract opportunity
• Part-time schedule with 20+ hours per week
• Work in English from India
• Hourly pay ranges from $60 to $120 USD

About AI Training Work

AI training is the human side of building artificial intelligence. Specialists create examples, evaluate model outputs, and define what high-quality reasoning looks like so AI systems can become more accurate, useful, and reliable.

In this role, your accounting knowledge will help train and assess advanced AI agents on realistic financial reasoning problems.

• Contribute directly to cutting-edge AI development
• Apply existing professional expertise without prior AI experience
• Work remotely with flexible contract hours

The Role

OpenTrain AI is seeking a Finance and Accounting Task Author to design expert-level accounting reconciliation tasks for AI training and evaluation. You will create numerically rigorous scenarios involving billing, revenue, payments, invoices, and margins that challenge capable AI models while remaining objectively scorable.

This is an entry-level contract opportunity by project classification, but it requires hands-on accounting or finance analysis experience and strong knowledge of multi-step reconciliation work.

• Employment type: Contractor and part-time
• Time requirement: 20+ hours per week
• Location: India
• Primary language: English
• Data type: Financial documents

What You'll Do

You will turn realistic accounting workflows into structured tasks that an AI system can attempt and evaluators can grade consistently. Each task must be solvable, numerically accurate, and calibrated to the intended difficulty.

• Author prompts about matching payments to invoices
• Create billing-versus-recognized-revenue reconciliation scenarios
• Develop tasks involving margin report analysis
• Write scoring rubrics with exact numerical outcomes and required reasoning steps
• Set up financial data, documents, and system states for realistic scenarios
• Solve each task to verify that the numbers and rubric are correct
• Adjust data complexity, source-document ambiguity, and reasoning requirements to calibrate difficulty
• Review and correct AI-drafted prompts or rubrics when provided

Required Skills

The strongest candidates will combine practical accounting or finance experience with precise numerical reasoning. You should be comfortable translating complex financial workflows into clearly defined, verifiable evaluation criteria.

• Hands-on experience as an accountant, finance analyst, or in a closely related role
• Strong numerical reasoning and experience with multi-step reconciliation problems
• Knowledge of revenue recognition principles, matching rules, and standard accounting workflows
• Ability to define exact figures, reconciled balances, and documented variance explanations
• Comfort working with financial documents, spreadsheets, and accounting system outputs
• Willingness to test and refine tasks until their difficulty and gradability are appropriate

Helpful Background

The following experience may be useful when creating realistic enterprise finance scenarios, but it is not listed as required.

• Finance experience in manufacturing, industrial, or enterprise B2B environments
• Familiarity with SAP, Oracle, Tally, QuickBooks, or similar ERP and accounting platforms
• CA, CMA, MBA in Finance, or an equivalent qualification
• Experience with Ind AS or IFRS accounting standards

Why Join AI Training

Every major AI system depends on examples and evaluations prepared by people. By contributing expert accounting judgment, you can help determine whether AI agents produce accurate financial reasoning and reliable reconciliation results while building experience in a fast-growing technology field.

• Use your accounting expertise in an emerging AI discipline
• Help shape how advanced models reason about financial tasks
• Build a career path in AI training and data labeling through OpenTrain