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Accounting Reconciliation AI Task Author

Create rigorous accounting reconciliation tasks that help train and evaluate advanced AI agents. This fully remote, flexible contract offers $60–$120 per hour for finance professionals in Canada.

OpenTrain AI

Legal & Finance

100% Remote Hourly · $60–$120/hr

$60–$120/hr

Compensation

Worldwide

Eligibility

Entry

Experience

Aug 16, 2026

Posted

Open worldwide

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About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role and the #1 platform for finding and building careers in AI training and data labeling. OpenTrain helps contributors discover projects, build a professional profile, and grow a lasting portfolio in this fast-moving industry.

About AI Training Work

AI training is the human work behind modern artificial intelligence. Finance professionals contribute specialized knowledge by creating realistic scenarios, defining correct answers, and evaluating whether AI systems can reason accurately through complex business problems.

The Role

OpenTrain AI is recruiting an Accounting Reconciliation AI Task Author to create expert-authored finance tasks that train and evaluate advanced AI agents. You will turn realistic enterprise accounting situations into numerically rigorous scenarios involving billing versus recognized revenue, payment-to-invoice matching, and margin report analysis.

Each scenario must be objectively scorable and challenging at the intended level. This is a fully remote, flexible, task-based freelance contract for accounting and finance professionals across Canada.

  • Contractor, part-time engagement
  • 20+ hours per week
  • Fully remote and flexible
  • Open to accounting and finance professionals across Canada
  • Compensation of $60–$120 USD per hour

What You'll Do

You will design complete accounting tasks, establish precise evaluation criteria, and verify that every scenario is financially coherent. Your work will help measure whether AI agents can follow accounting workflows and produce defensible numerical conclusions.

  • Author prompts based on payment matching, revenue reconciliation, and margin analysis workflows.
  • Write rubrics specifying exact numerical outcomes, reasoning steps, reconciled balances, and acceptable variance explanations.
  • Set up realistic task environments using financial data, documents, and system states.
  • Solve each task to confirm that the figures, workflow, and scoring criteria 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 Qualifications

This role requires practical accounting or finance analysis experience and strong numerical reasoning. You should be comfortable working through multi-step reconciliation problems and translating financial judgment into clear, verifiable evaluation criteria.

  • Hands-on experience as an accountant, finance analyst, or in a closely related finance role.
  • Experience with multi-step reconciliation and precise numerical reasoning.
  • Knowledge of revenue recognition principles, payment matching rules, and standard accounting workflows.
  • Ability to define exact, verifiable correctness criteria and explain financial variances.
  • Comfort working with financial documents, spreadsheets, and accounting system outputs.

Helpful Background

The following experience is useful but is not listed as required. It may help you create more realistic enterprise accounting environments and scenarios.

  • Finance experience in manufacturing, industrial, or enterprise B2B organizations.
  • Familiarity with NetSuite, SAP, or QuickBooks Enterprise.
  • CPA Canada or an equivalent designation.
  • Experience in audit, financial controls, or revenue assurance.
  • Familiarity with ERP or enterprise accounting environments.

Who Should Apply

This opportunity is suited to accounting and finance professionals who enjoy analytical problem-solving and can express accounting workflows with precision. It is marked as entry level while still requiring hands-on reconciliation and finance experience, making it a potential starting point for specialized AI-training work for qualified professionals.

  • Accounting professionals with reconciliation experience
  • Finance analysts comfortable with numerical investigation
  • Professionals who can create realistic financial documents and system states
  • Experts able to distinguish correct outcomes from plausible but incorrect AI reasoning

Build Your AI Training Career

AI training and data-labeling work is a growing way for specialists to apply their expertise to cutting-edge technology. OpenTrain provides a place to build a profile, showcase credible project experience, and find flexible opportunities that can develop into a long-term AI training portfolio.

  • Create an OpenTrain account for free.
  • Build a profile around your accounting and finance experience.
  • Apply to relevant AI training projects in minutes.
  • Work remotely with flexible, task-based arrangements.

Ready to apply?

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