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Document and Email Data Extraction Reviewer

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Document and Email Data Extraction Reviewer

Review AI-extracted records from PDFs, emails, scanned files, and business documents. Correct fields, complete missing information, and flag ambiguity while working part time for $12 per hour.

OpenTrain AI

General Annotation

Remote Hourly · $12/hr

$12/hr

Compensation

11 countries

Eligibility

Intermediate

Experience

Mar 3, 2026

Posted

Open to applicants in

Argentina Bolivia Brazil Chile Colombia Guatemala Mexico Nicaragua Paraguay Peru Uruguay

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI is hiring contractors to help improve the systems that extract useful information from documents, and creating an account is free.

  • Remote contractor opportunity
  • Part-time schedule of less than 20 hours per week
  • $12 per hour
  • Available to applicants in Argentina, Bolivia, Brazil, Chile, Colombia, Guatemala, Mexico, Nicaragua, Paraguay, Peru, and Uruguay

About AI Training and Data Labeling

AI training is the human work behind modern artificial intelligence. Contributors review model outputs, prepare examples, and identify errors so AI systems can become more accurate and useful. In this role, your careful document review will help train systems that turn unstructured business files into structured records.

  • Work remotely with a computer and internet connection
  • Help improve cutting-edge AI document processing
  • Use attention to detail to evaluate and correct model outputs

The Role

OpenTrain AI is looking for an intermediate-level Document and Email Data Extraction Reviewer. The system processes PDFs, emails, scanned files, and other documents, then uses AI to extract structured information into records.

Each record may include fields such as dates, amounts, names, and codes. The fields you review will change according to the document type, so you must carefully read each field name and its description rather than assuming the same field has the same meaning across documents.

  • Employment type: Part-time contractor
  • Pay: $12 per hour
  • Time requirement: Less than 20 hours per week
  • Primary language: English
  • Document types may include invoices, contracts, bills of lading, certificates, and other business records

What You’ll Do

You will review every extracted record by comparing the AI-generated information against the original source document. Your work will involve validating correct information, fixing errors, completing missing fields, and identifying cases that require escalation.

  • Confirm fields that accurately match the source document
  • Correct fields containing inaccurate extracted information
  • Fill in fields that the AI missed
  • Flag ambiguous information for escalation
  • Review different schemas and field definitions for different document types
  • Compare extracted records with PDFs, emails, scanned files, and other source documents

Requirements and Preferred Experience

This is an intermediate-level opportunity. Experience working with back-office or middle-office documents is ideal, particularly business records such as invoices, sales orders, and purchase orders. Experience labeling data for LLM products is a significant advantage.

  • Strong attention to detail when comparing records with source documents
  • Ability to follow changing field names and descriptions carefully
  • Experience with back-office or middle-office documentation preferred
  • Experience with LLM data labeling preferred
  • English-language work

Why Join AI Training Work

AI training and data labeling are part of a fast-growing technology industry. People from many backgrounds contribute by reviewing information, evaluating model behavior, and preparing high-quality examples that shape how AI systems work.

  • Flexible part-time work that can fit around other commitments
  • Remote work from an eligible country
  • A direct role in improving modern AI systems
  • An opportunity to build experience in AI training and document data review

How to Apply Through OpenTrain

Create a free OpenTrain account to build your profile and apply in minutes. Review the opportunity details carefully and highlight any relevant experience with business documents, data labeling, or LLM products.

  • Apply through OpenTrain
  • Showcase relevant document-review or data-labeling experience
  • Select a workload below 20 hours per week

Ready to apply?

Create a free OpenTrain account and apply for this role in minutes.

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