Find a job 
Featured Companies 
Featured Universities 
For Companies 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.
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.
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.
Contact Detail:
YO HR Consultancy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Labeling Expert
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and data annotation space on LinkedIn or other platforms. A friendly chat can open doors and give you insights into the industry that job descriptions just can't capture.
✨Tip Number 2
Show off your skills! If you've got experience with annotation tools or have done similar work, create a portfolio showcasing your best projects. This visual proof can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your understanding of document structures and annotation guidelines. Practise explaining how you handle complex layouts and maintain accuracy – it’ll show you're ready to tackle the role head-on!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are excited about joining us. Plus, it gives you a better chance to stand out in our system.
We think you need these skills to ace Data Labeling Expert
Some tips for your application 🫡
Show Off Your Attention to Detail: When you're applying for the Data Labeling Expert role, make sure to highlight your attention to detail. We want to see how you can accurately follow complex guidelines and maintain high standards in your work. Share examples from your past experiences that demonstrate this skill!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to match the job description. We love seeing candidates who understand what we do and how they can contribute to our mission in AI infrastructure.
Highlight Relevant Experience: If you've got experience in data annotation or similar roles, make sure to shout about it! Even if it's not extensive, any relevant experience can set you apart. We’re looking for candidates who can hit the ground running, so let us know what you’ve done!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re genuinely interested in joining our team at StudySmarter!