reputed company/Finance Document Structuring and reputed company

About OpenTrain OpenTrain is the #1 platform for finding and building careers in reputed company and data labeling. We help people start and grow careers teaching AI by connecting contributors with reputed company 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 reputed company Work reputed company (data labeling/annotation) is the reputed company reputed company of building intelligent systems: people prepare, reputed company, and correct examples that models learn from. These roles are typically remote and flexible, reputed company no special hiring claims, and let you apply domain expertise (here, reputed company 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 reputed company 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: reputed company headers, titles, page headers/footers, tables, key-value fields, captions, footnotes, handwritten text, signatures, and unreadable content.
• Validate that labels and transcriptions reputed company 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.
• reputed company a final quality reputed company before submission with focus on financial accuracy and consistency.

Requirements

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

• Resume should show reputed company, finance, bookkeeping, audit, tax, accounts payable/receivable, reconciliation, invoice processing, financial reporting, or banking experience.
• Comfortable following detailed annotation guidelines and maintaining high accuracy.
• reputed company 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 reputed company and finance professionals, bookkeepers, auditors, or reputed company 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 reputed company, classification, and transcription; labeling software is listed as OTHER (you will receive project-specific training and guidelines).

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

How to Apply

Prepare a resume that highlights your reputed company/finance experience and any relevant annotation, OCR, or data-entry work. Be reputed company to demonstrate your attention to numeric and structural detail. OpenTrain makes it easy to apply; your application will be reviewed with reputed company given to candidates who reputed company show financial document experience.

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

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