Accounting Reconciliation Task Author

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI is hiring and contracting contributors for projects that help shape how advanced artificial intelligence systems learn, reason, and respond.

Creating an OpenTrain account is free, and contributors can build a profile and apply to projects in a fast-growing industry where human expertise directly improves AI.

About AI Training Work

AI training is the human side of building artificial intelligence. Experts create examples, evaluate model outputs, and define standards that help AI systems produce more accurate and useful results.

In this role, your accounting expertise will help train and assess advanced AI agents on realistic reconciliation problems. The work is fully remote and task-based, offering flexibility while allowing you to contribute to cutting-edge technology.

The Role

OpenTrain AI is seeking an Accounting Reconciliation Task Author to create expert-level accounting scenarios for AI training and evaluation. You will design realistic, numerically rigorous tasks, write scoring rubrics, and calibrate difficulty so capable AI models are meaningfully challenged.

The role is classified as entry level in the listing, but the work requires hands-on accounting or finance analysis experience, strong numerical reasoning, and knowledge of reconciliation, revenue recognition, and matching rules.

• Role type: Flexible, task-based contractor and part-time work
• Location: Philippines
• Pay: $60–$120 per hour, depending on experience and task complexity
• Schedule: Flexible, with the listing indicating 20+ hours per week and no fixed weekly hours
• Language: English

What You’ll Do

You will create accounting tasks that are realistic, solvable, and straightforward to evaluate. Each task should include the financial context, documents, data, and system states needed to replicate a credible accounting scenario.

• Write prompts focused on matching payments to invoices, reconciling billing against recognized revenue, and analyzing margin reports
• Create scoring rubrics with exact numerical outcomes and the reasoning steps required to reach them
• Set up task environments using financial data, documents, and accounting system states
• Solve each task yourself to confirm that the numbers work and the rubric is accurate
• Adjust data complexity, ambiguity in source documents, and reasoning steps to calibrate task difficulty
• Review and correct AI-drafted task prompts or rubrics when provided

Required Qualifications

This work is designed for finance professionals who can apply practical accounting knowledge to complex, multi-step reconciliation scenarios. Precision, consistency, and the ability to define objectively correct answers are essential.

• Hands-on experience as an accountant, finance analyst, or in a closely related role
• Strong numerical reasoning and the ability to work through multi-step reconciliation problems
• Solid knowledge of revenue recognition principles, matching rules, and standard accounting workflows
• Ability to define verifiable correctness criteria, including 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 both appropriate

Helpful Background

The following experience can be useful when creating realistic enterprise accounting scenarios, although the core requirements are the accounting and reconciliation capabilities listed above.

• Experience in manufacturing, industrial, BPO, or enterprise B2B finance environments
• Familiarity with ERP or accounting platforms such as SAP, Oracle, or QuickBooks
• CPA (Philippines) license or an equivalent professional qualification
• Background in audit, financial controls, or revenue assurance

Why Work in AI Training

AI training and data labeling are among the fastest-growing ways to work in technology. Modern AI systems depend on people who bring specialized knowledge, review outputs carefully, and establish reliable standards for model performance.

This opportunity lets you apply professional accounting judgment to the development of advanced AI while working remotely and choosing task-based work around your schedule.

• Work remotely with a computer and internet connection
• Use your accounting expertise in a growing technology field
• Contribute directly to how advanced AI agents reason about financial scenarios
• Take on flexible, task-based contract work