Remote Finance AI Data Reviewer (Contract)

About OpenTrain

OpenTrain is the #1 platform for people building careers in AI training and data labeling. We help freelancers discover projects, consolidate opportunities, and build a unified AI training portfolio they control — all from one place.

Why AI Training in Finance Matters

AI systems learn from examples people prepare and review. In finance, human reviewers ensure models understand invoices, ledgers, ERP exports, reconciliations, and reporting workflows — work that directly shapes how financial AI behaves.

This kind of contributor work is often remote and flexible, and it gives finance professionals an opportunity to apply accounting judgment to improve model outputs and training data quality.

The Role

OpenTrain is recruiting a finance-focused AI data reviewer for a contractor, part-time role working on model calibration and data-quality review for finance datasets. You will combine real-world accounting judgment with careful analytical review to validate and improve training data.

• Schedule: 20+ hours/week (remote, worldwide).
• Pay: hourly range $10–$55, up to $55/hr (USD).
• Employment type: Contractor, Part-time.
• Language: English required.

What You’ll Do

• Review and validate financial data, invoices, ledgers, and ERP exports for accuracy and completeness.
• Perform variance analysis and reconcile accounts to identify discrepancies.
• Evaluate supporting documentation and clearly document findings for dataset improvements.
• Support AP/AR and month-end close related workflows as they relate to training tasks.
• Analyze real and synthetic finance scenarios and map evidence to expected outputs.
• Contribute finance expertise to calibration, labeling guidelines, and dataset quality improvement.

Requirements

• Bachelor's degree in accounting, finance, or a related field plus at least 4 years of relevant experience.
• Advanced proficiency in Excel and Google Sheets.
• Experience in accounting operations: AP/AR, financial reporting, reconciliation, or FP&A.
• Ability to interpret ERP reports, ledgers, and supporting documentation.
• Strong analytical judgment and clear written and verbal communication in English.
• High attention to detail when validating financial scenarios and documentation.

Helpful Background

• Experience in audit, controllership, or finance process optimization.
• Prior exposure to AI training, data annotation, or quality assurance in finance contexts.
• Comfort working autonomously and managing multiple tasks in a remote setting.

Labeling & Tools

This role focuses on document-type data and labeling tasks that include classification, evaluation/rating, and data-collection style work. The project uses third-party or custom annotation tools (listed as OTHER).

• Data type: Document review (invoices, ledgers, ERP exports).
• Label types: Classification, Evaluation/Rating, Data Collection.
• / project-specific tools.

How It Works

Apply through OpenTrain to create a profile and express interest in this project. Successful candidates complete project-specific training and calibration tasks before starting paid reviews.

Work is contractor-based and remote; you’ll typically choose hours that fit your schedule while meeting project deadlines and quality expectations.

How to Apply

If you meet the requirements and want to shape how finance AI systems learn, apply via OpenTrain. Make sure your profile highlights accounting experience, Excel skills, ERP familiarity, and examples of reconciliations or financial reporting work.