Join OpenTrain AI as a PDF Document Annotation Specialist to create precise bounding-box and classification labels for structured information extraction. Work remotely from Bangladesh, 20+ hours/week at $3/hr, applying careful guideline-driven annotation on complex PDF layouts.
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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OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help people start and grow freelance careers teaching AI by finding projects, tracking work, and building a unified annotation portfolio.
OpenTrain AI is the hiring and contracting organization for this role; creating an OpenTrain account is free and lets you discover work, apply, and manage assignments in one place.
About AI training work
AI training (also called data labeling or annotation) is the human side of building modern AI. Contributors prepare and verify examples—like annotated documents—that models learn from. This work is highly flexible, often remote, and a fast-growing way to work in tech while directly influencing how AI systems perform.
Flexible, remote work that fits around other commitments.
Accessible roles: many projects need attention to detail rather than prior experience.
Contributors shape how state-of-the-art AI models read and extract information from documents.
The role
OpenTrain AI is hiring a PDF Document Annotation Specialist to support structured information extraction from PDFs. You will draw tight bounding boxes, classify document elements, preserve reading order, and handle complex layouts consistently following detailed guidelines.
This is a part-time contractor position requiring 20+ hours per week; applicants must be located in Bangladesh and fluent in English for guideline comprehension and annotation labels.
Employment type: Contractor, Part-time.
Location eligibility: Bangladesh only.
Language: English required.
What you'll do day-to-day
You will annotate PDF pages to produce high-quality training data for document understanding models. Tasks combine visual layout work with classification and logical ordering of elements.
Draw precise bounding boxes around text blocks, tables, figures, captions, headers, and key-value fields.
Classify annotated elements according to project labels and guidelines.
Preserve correct reading order and logical document flow.
Annotate complex layouts: multi-column text, forms, tables, and rotated pages.
Flag ambiguous cases and suggest clarifications when guidelines are unclear.
Maintain confidentiality and follow data security instructions.
Requirements
Candidates must meet the stated educational, experience, and skill expectations below. All required facts come from the role description and will be verified during onboarding.
Education: Bachelor’s degree in any field; preference for Technology, Engineering, or data-related disciplines.
Experience: 6 months to 2+ years in data annotation, labeling, or similar work preferred; entry-level applicants with strong attention to detail may apply.
Core skills: strong attention to detail, ability to follow complex annotation guidelines, and basic understanding of document structures (text blocks, tables, forms, figures).
Specific skills: experience drawing bounding boxes, applying classification rules, and preserving reading order in multi-column or form-heavy PDFs.
Tools: familiarity with annotation tools or platforms is a plus but not required.
Data handling: ability to maintain confidentiality and follow data security expectations.
Who should apply
This role suits detail-oriented people who enjoy repetitive, guideline-driven work and have experience or interest in document layout and annotation. It's a good fit for freelancers, students, or professionals seeking flexible part-time remote work inside the AI training industry.
You are comfortable working with PDF documents and making careful layout judgments.
You can follow step-by-step guidelines and keep high accuracy over many annotations.
You live in Bangladesh and can commit to 20+ hours/week.
Compensation & logistics
Pay is USD 3 per hour. This is a contractor role with part-time hours (20+ hours/week). All assignments, guidelines, and submission workflows are managed through OpenTrain AI.
Hourly rate: $3.00 USD per hour.
Minimum weekly commitment: 20+ hours.
Work type: remote, contractor (part-time).
Eligible locations: Bangladesh only.
How to apply
Create an OpenTrain account (free), complete your profile, and apply for this PDF Document Annotation Specialist role. During onboarding you'll review project guidelines, complete a short qualification task, and receive feedback before working on paid assignments.
Prepare to demonstrate bounding-box and classification skills in a short qualification test.
Have a reliable internet connection and a computer capable of viewing and annotating PDFs.
Applications are reviewed and qualified contributors are invited to active tasks.
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