Accounting AI Training Expert (Remote, Contract

About Open Train

Open Train is the #1 platform for finding and building careers in AI training and data labeling. We connect experienced professionals with projects that teach AI systems how to work, think, and make judgments — and we are the hiring organization for this role.

We make specialized AI training work easier to find, apply for, and grow into a durable freelance career. Creating an Open Train account is free.

AI training (also called data labeling or human feedback) is the human side of building intelligent systems: people create examples, rate model outputs, and give the judgments models learn from. This work is remote, flexible, and accessible — a practical way to apply professional expertise to shape how AI performs.

As an Accounting AI Training Expert you'll contribute high-value, judgment-based work that helps models reason about real accounting tasks and professional standards.

• 100% remote: work from anywhere with a computer and internet connection (this role is US-based).
• Flexible, part-time contract work that can fit alongside other commitments.
• Direct impact: your feedback and examples improve how AI handles accounting workflows.

We are hiring an Accounting AI Training Expert to design realistic accounting scenarios, evaluate AI-generated responses for technical accuracy and standards compliance, and craft structured examples and feedback that guide model behavior.

This is a contract, part-time role at 20+ hours per week. Pay range is USD $80–$120 per hour (typical rate up to $120/hr). Applicants must be located in the US and fluent in English.

• Employment type:
  
  Contractor, Part-time.
• Time commitment: 20+ hours/week.
• Pay:
  Hourly, USD $80–$120/hr (rate varies by assignment).
• Languages:
  
  English required.
  
  Location:
  
  United States only.

Work centers on creating structured training data and judgment-based review across audit, tax, financial reporting, bookkeeping, controllership, forensic accounting, and accounting systems.

• Create accounting scenarios and task prompts from real-world work: financial statements, reconciliations, journal entries, audit procedures, tax filings, month-end close, and internal controls.
• Review AI-generated accounting responses for accuracy, GAAP and IFRS compliance, and sound professional judgment.
• Write structured examples that show step-by-step professional reasoning.
• Provide clear, actionable written feedback to improve model outputs.
• Collaborate asynchronously with a research team to refine examples and evaluation criteria.

You must meet the core professional and technical requirements below to ensure high-quality, standards-based annotation and evaluation.

• 3+ years of professional experience in accounting, audit, tax, bookkeeping, or finance operations.
• Active professional credential: CPA, CA, ACCA, CMA, EA, or equivalent.
• Bachelor's degree in Accounting, Finance, or related field.
• Ability to judge GAAP and IFRS compliance in accounting outputs.
• Familiarity with common accounting tools such as Quick Books, Net Suite, SAP, Oracle, and Excel.
• Strong written communication, attention to detail, and ability to produce structured feedback.

The following experiences are not required but will help you hit the ground running and contribute higher-value examples and critiques.

• Experience across accounting specialties such as public accounting, corporate finance, advisory, or firm-based practice.
• Prior work creating structured training examples or evaluating AI outputs.
• Comfort working asynchronously with research or product teams on iterative tasks.