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PDF Document Annotation Specialist

Help train AI to understand complex PDF documents by labeling text, tables, forms, and figures. This part-time contractor role offers $3 per hour and requires 20+ hours weekly.

OpenTrain AI

General Annotation

Remote Hourly · $3/hr

$3/hr

Compensation

1 country

Eligibility

Entry

Experience

Jul 9, 2026

Posted

Open to applicants in

Bangladesh

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About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role. OpenTrain is the leading platform for finding and building careers in AI training and data labeling, helping people discover projects, build a professional profile, and apply in minutes.

Creating an OpenTrain account is free, and this opportunity is open to candidates in Bangladesh.

About AI Training Work

AI training is the human work behind modern artificial intelligence. Contributors prepare and review examples that help AI systems recognize information, follow structure, and produce more useful results.

Document annotation is an important part of this growing field. By identifying and organizing content in PDFs, you will help support models that learn to understand real-world documents.

The Role

OpenTrain AI is hiring a PDF Document Annotation Specialist for structured information extraction work. You will review PDF pages, draw precise bounding boxes around document elements, classify annotated content, preserve reading order, and handle complex layouts with consistency.

This is an entry-level, part-time contractor opportunity requiring 20 or more hours per week. The rate is $3 USD per hour.

  • Employment type: Contractor and part time
  • Experience level: Entry level
  • Work commitment: 20+ hours per week
  • Pay: $3 USD per hour
  • Language: English
  • Location: Bangladesh

What You'll Do

You will complete detailed PDF annotation tasks according to project guidelines. Accuracy, consistency, and careful judgment are essential, especially when documents contain multiple structures or unclear cases.

  • Draw precise bounding boxes around text blocks, tables, figures, captions, headers, and key-value structures.
  • Classify annotated elements according to project guidelines.
  • Preserve correct reading order and logical document structure.
  • Annotate complex layouts, including multi-column text, forms, tables, and rotated pages.
  • Apply annotation instructions consistently and flag unclear cases or guideline gaps.
  • Maintain confidentiality and follow data security expectations.

Requirements

A bachelor's degree in any field is required, with preference for candidates from technology, engineering, or data-related disciplines. Previous annotation experience is preferred but the role is listed at entry level.

You should be comfortable following detailed rules and maintaining accuracy through repetitive annotation work. Experience with annotation tools or platforms is helpful but not required.

  • Bachelor's degree in any field, preferably technology, engineering, or a data-related discipline.
  • Six months to 2 or more years of experience in data annotation, labeling, or similar work preferred.
  • Strong attention to detail and the ability to follow complex annotation guidelines.
  • Basic understanding of text blocks, tables, forms, figures, and other document structures.
  • Ability to apply rules for bounding boxes, classification, and reading order.
  • Experience annotating documents with bounding boxes and classification rules.
  • Ability to explain ambiguous cases and follow complex guidelines.
  • Familiarity with data annotation or labeling workflows.

Who Should Apply

This opportunity may suit detail-oriented candidates who enjoy structured work and can maintain dependable accuracy across repeated tasks. It is especially relevant for people with experience reviewing PDFs, forms, tables, or other document layouts.

Apply if you can commit to at least 20 hours each week, communicate clearly about ambiguous cases, and work carefully within established rules.

  • Candidates in Bangladesh who can work in English.
  • People with document annotation or data-labeling experience.
  • Applicants comfortable reviewing multi-column and form-heavy PDFs.
  • Detail-focused contributors who can maintain accuracy over repetitive tasks.
  • Candidates familiar with annotation tools or platforms.

How to Apply

Create a free OpenTrain account, review the opportunity details, and apply through OpenTrain AI. If selected, you will complete the work as a part-time contractor while following the project's annotation, confidentiality, and data security expectations.

  • Create or sign in to your free OpenTrain account.
  • Review the role requirements and weekly commitment.
  • Apply through OpenTrain AI.
  • Be prepared to demonstrate careful document annotation and guideline adherence.

Ready to apply?

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

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