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OpenTrain AIFor AI Companies

Document And Email Data Extraction Reviewer

Review AI-extracted records from invoices, contracts, emails, and scanned documents. Correct fields, complete missing information, and flag ambiguity in a flexible remote role paying $12 per hour.

OpenTrain AI

General Annotation

100% Remote Hourly · $12/hr

$12/hr

Compensation

Worldwide

Eligibility

Intermediate

Experience

Mar 3, 2026

Posted

Open worldwide

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About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping people discover projects, build their profiles, and apply in minutes.

Creating an OpenTrain account is free. This opportunity is open worldwide for a part-time contractor working fewer than 20 hours per week.

  • Remote work available worldwide
  • Part-time contractor engagement
  • Pay: $12 USD per hour
  • Intermediate experience level

About AI Training And Data Labeling

AI systems learn to process information from examples prepared and reviewed by people. In document data work, contributors help models understand PDFs, emails, scanned files, and business records by checking whether extracted information matches the original source.

Your careful review helps improve how AI identifies important details such as dates, amounts, names, and codes across many document formats.

  • Work directly with AI-generated outputs
  • Support the development of more accurate document-processing systems
  • Build experience in a fast-growing area of technology
  • Work remotely with flexible part-time hours

The Role

As a Document and Email Data Extraction Reviewer, you will review every structured record produced by an AI system. You will compare each extracted record with its source document and determine whether the information is accurate, complete, and appropriate for the document type.

A single job may include different document types, including invoices, contracts, bills of lading, certificates, and other business records. The extraction schema, including the fields you review, will change depending on the document type. You must read field names and descriptions carefully rather than assuming a field has the same meaning across documents.

This role is especially suited to someone familiar with back-office or middle-office documents and interested in applying data review skills to AI products.

  • Review documents such as PDFs, emails, and scanned files
  • Compare AI-extracted records with the original source
  • Work with changing schemas across different document types
  • Support AI training through evaluation and structured data review

What You'll Do

You will assess each extracted field against the source document and update the record when necessary. Accuracy, consistency, and close attention to the schema are essential because the expected fields may differ from one document category to another.

  • Confirm fields that are correct
  • Correct fields that contain inaccurate information
  • Fill in fields that the AI missed
  • Flag ambiguous information for escalation
  • Review dates, amounts, names, codes, and other extracted fields
  • Follow the field names and descriptions provided for each document type

Requirements And Preferred Experience

This is an intermediate-level opportunity. Experience with back-office and middle-office documents is ideal, particularly records such as invoices, sales orders, and purchase orders.

Prior data-labeling experience with large language model products is a strong plus. The source information does not specify a required language, country, degree, or technical skill.

  • Intermediate experience level
  • Ideal: experience with back-office or middle-office documents
  • Helpful: familiarity with invoices, sales orders, purchase orders, or similar records
  • Strong plus: prior data-labeling experience with LLM products
  • Careful attention to field definitions and source documents

Why This Work Matters

Every major AI system depends on human-reviewed examples. By checking extracted business information and identifying errors or missing fields, you help shape how AI handles real-world documents and records.

AI training and data-labeling work can be a flexible way to build experience in technology. Contributors work remotely and often fit project hours around other commitments.

  • Help improve the accuracy of document-processing AI
  • Gain practical experience reviewing AI-generated data
  • Contribute to cutting-edge AI development
  • Choose a part-time workload of fewer than 20 hours per week

Contract Details And Application

This is a worldwide, remote, part-time contractor opportunity with pay of $12 USD per hour and a time requirement of fewer than 20 hours per week. OpenTrain AI is the hiring and contracting organization.

Create a free OpenTrain account to build your profile and apply in minutes.

  • Engagement: Contractor
  • Schedule: Part time
  • Time requirement: Less than 20 hours per week
  • Location: Worldwide and remote
  • Rate: $12 USD per hour

Ready to apply?

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

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