Document Annotation Specialist (PDF)
SME Careers • Remote
Education
Bachelor's
Type
Hourly
Pay Rate
$3/hr
Listed
53d ago
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From the SME Careers listing
Join a dynamic and fast-growing AI infrastructure company that collaborates with Fortune 100 clients to shape the future of machine learning and artificial intelligence. As a Data Annotator, you will be responsible for accurately identifying, classifying, and annotating entities within PDF documents. Your work will directly contribute to training AI models that extract structured information from complex documents, making high-quality annotation critical to project success.
Key responsibilities
- Annotate PDF documents by drawing precise bounding boxes around entities such as text, tables, figures, captions, headers, and key-value structures.
- Classify annotated elements according to project guidelines.
- Ensure bounding boxes are tight, accurate, and follow annotation standards.
- Maintain correct reading order and logical structure across document elements.
- Handle complex layouts including multi-column text, forms, tables, and rotated pages.
- Follow detailed annotation instructions and apply rules consistently across all tasks.
- Identify and flag unclear cases or guideline gaps to supervisors.
- Maintain confidentiality and adhere strictly to data security policies.
Your profile
- Bachelor’s degree (any field; preference for Technology, Engineering, or Data-related disciplines).
- 6 months – 2+ years of experience in data annotation, labeling, or similar roles (preferred but not mandatory).
- Strong attention to detail and ability to follow complex annotation guidelines.
- Basic understanding of document structures (text blocks, tables, forms, figures, etc.).
- Ability to interpret and apply rules related to bounding boxes, classification, and reading order
- Comfortable working with repetitive tasks while maintaining high accuracy.
- Familiarity with annotation tools or platforms is a plus.
🌍 Geographic Availability This role is available to qualified experts globally. However, as a U.S.-based company, SME Careers complies with U.S. export control and sanctions regulations. Eligibility depends on your country of residence and any applicable trade restrictions. Some projects may have additional language or region-specific requirements.
💰 Pay Rate May Vary Based on Your Location Your actual compensation will be determined based on your location and local market conditions. See regional job listings for localized pay information, or the application process will clarify your specific rate.
If you're unsure whether you're eligible, proceed with the application—SME's screening will determine your jurisdiction status and applicable compensation.
How long hiring takes
Across the AI training platforms we refer candidates to, the median gap between referral and hire is about 30 days. It varies by platform and role, so treat it as a rough guide for this one.
Why this role
This Document Annotation Specialist role pays $3/hr for identifying, classifying, and annotating entities within PDF documents for AI infrastructure clients. SME Careers accepts candidates without prior annotation experience, though six months to two years of data-labeling background is preferred, and wants a basic understanding of document structures like text blocks, tables, and forms. It's one of the lowest-paying but also lowest-barrier roles SME Careers runs, suited to someone building an annotation track record from scratch.
Skills and categories
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Common questions
Is SME Careers work ongoing or project-based?
Project-based. Assignment duration and availability vary by project, but consistently high-quality work earns priority access to whatever comes next.
Does SME Careers offer a path for advancement?
Yes. SME Careers is unusual among AI training platforms for this: it publishes an explicit career ladder, Data Trainer, then Quality Analyst, then QA Lead, then Project Manager. Consistent, high-quality work is what moves you up it.
What does task-based AI training work look like?
Practical, hands-on data work: recording short videos, categorizing images, rating text responses, or analyzing data. Tasks are designed to be short and distinct, typically 5 to 60 minutes each.
What does asynchronous AI training work mean in practice?
No set hours, no check-ins, no meetings. You log in when you want, pick up an available task, complete it, and submit; nobody is waiting on you in real time. That's different from remote employment, where you're expected online during business hours. The tradeoff: you're competing with others for available tasks, so an empty queue means there's simply nothing to do until more work is released.
What does Software Engineering work look like for a Document Annotation Specialist (PDF)?
Tasks here are scoped to Software Engineering, not generic labeling. As a Document Annotation Specialist (PDF), expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to Software Engineering) rather than following a one-size-fits-all rubric. If you don't have hands-on Software Engineering background, this is likely not the right listing to start with.
What specific skills does this listing call for?
Text Data Annotation PDF Bounding Box and AI Training are named directly in the listing. If you don't have hands-on experience with these, expect the screening process to test for them directly rather than accepting adjacent experience as a substitute.
How much does this specific role pay?
This listing is posted at $3/hr, a per-task rate. Pay can change between when we last checked the listing and when you apply, so confirm the current number on the platform's own application page before committing time.
What happens when I click Apply on this listing?
You'll be taken to SME Careers's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.
Who is behind SME Careers?
SME Careers is the expert talent division of SuperAnnotate, an AI data infrastructure platform, connecting domain experts with high-level AI training projects.