Accounting & Finance Document Annotation Specialist

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help people start and grow careers teaching AI by connecting contributors with real annotation projects, tools, and guidance — creating high-quality training data that makes modern AI systems work.

This opportunity is on OpenTrain’s platform and is ideal for professionals who want flexible, remote work contributing directly to how AI systems understand financial documents.

About AI Training Work

AI training (data labeling/annotation) is the human side of building intelligent systems: people prepare, check, and correct examples that models learn from. These roles are typically remote and flexible, make no special hiring claims, and let you apply domain expertise (here, accounting and finance) to shape how AI handles financial data.

• This role focuses on document-level accuracy: structure, numeric correctness, tables, and financial semantics.
• Work is 100% remote and contractor/part-time; you’ll follow detailed annotation guidelines and complete quality checks before submission.

The Role

You will review accounting and finance documents (invoices, receipts, bank statements, financial statements, tax and audit materials, payment records, and business reports) and ensure the extracted structure and content are accurate, complete, and meaningful.

The annotation tool includes OCR preannotation and bounding boxes; you will verify, correct, and complete these outputs and generate structured table and key-value representations where required.

• Employment type: Contractor, Part-time.
• Time commitment: 20+ hours per week.
• Data type: Document annotation with bounding boxes, classification, and transcription.

What You’ll Do

• Review OCR and correct errors in numbers, dates, currency amounts, account names, table values, totals, and financial terminology.
• Assign document-region labels: section headers, titles, page headers/footers, tables, key-value fields, captions, footnotes, handwritten text, signatures, and unreadable content.
• Validate that labels and transcriptions make sense in context, not just visually.
• Review or create clean HTML table output preserving rows, columns, headers, totals, and financial meaning.
• Create accurate JSON key-value pairs for invoice numbers, dates, vendor/customer names, totals, balances, payment terms, tax amounts, and account references.
• Organize reading order and parent/child or previous-instance relationships so documents can be reconstructed correctly.
• Perform a final quality check before submission with focus on financial accuracy and consistency.

Requirements

We’re prioritizing applicants with hands-on accounting or finance experience. You must be comfortable reading financial documents and spotting mistakes in amounts, dates, and tables.

• Resume should show accounting, finance, bookkeeping, audit, tax, accounts payable/receivable, reconciliation, invoice processing, financial reporting, or banking experience.
• Comfortable following detailed annotation guidelines and maintaining high accuracy.
• Able to work with structured table output and key-value data; HTML table or JSON experience helpful but not required.
• Prior OCR, document annotation, data-entry, or QA experience is helpful.
• Professional working proficiency in English.

Who Should Apply

This role is designed for accounting and finance professionals, bookkeepers, auditors, or experienced financial operations staff who want flexible, remote work. General annotation experience alone is not sufficient — domain knowledge in finance is required to ensure correct interpretation of financial content.

• Ideal for people seeking part-time, remote contract work with a steady weekly commitment.
• Good fit if you enjoy detail-oriented tasks and ensuring numeric and structural accuracy in documents.

Pay, Tools, and Schedule

Pay is hourly at $7–$9 USD per hour. The project is paid per hour (PAY_PER_HOUR) and requires 20+ hours per week. You will use a web annotation tool that provides OCR preannotations and bounding boxes which you must verify and correct.

Label types include bounding box, classification, and transcription; labeling software is listed as OTHER (you will receive project-specific training and guidelines).

• Hourly rate: $7–$9 USD per hour.
• Label types: BOUNDING_BOX, CLASSIFICATION, TRANSCRIPTION.
• Tool: OCR preannotations provided; you will validate and improve outputs.

How to Apply

Prepare a resume that highlights your accounting/finance experience and any relevant annotation, OCR, or data-entry work. Be ready to demonstrate your attention to numeric and structural detail.

OpenTrain makes it easy to apply; your application will be reviewed with priority given to candidates who clearly show financial document experience.

• Attach a resume showing relevant finance/accounting responsibilities.
• Indicate your weekly availability (confirm 20+ hours/week) and hourly expectations within the $7–$9 range.