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- Tasks: Annotate PDF documents and classify entities to train AI models.
- Company: Fast-growing AI infrastructure company working with Fortune 100 clients.
- Benefits: Flexible remote work, competitive pay, and opportunities for skill development.
- Other info: Join a dynamic team with exciting projects and growth potential.
- Why this job: Play a key role in shaping the future of AI and machine learning.
- Qualifications: Bachelor’s degree preferred; attention to detail and basic document structure knowledge required.
The predicted salary is between 25000 - 35000 £ per year.
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.
Data Labeling Expert - Remote employer: YO IT CONSULTING
Contact Detail:
YO IT CONSULTING Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Labeling Expert - Remote
✨Tip Number 1
Network like a pro! Reach out to people in the industry, join relevant online communities, and don’t be shy about asking for advice or referrals. We all know someone who knows someone, so leverage those connections!
✨Tip Number 2
Nail that interview prep! Research common questions for data annotation roles and practice your answers. We recommend using the STAR method (Situation, Task, Action, Result) to structure your responses and showcase your skills effectively.
✨Tip Number 3
Show off your skills with a portfolio! If you’ve done any data annotation work before, compile examples of your best projects. This gives potential employers a clear view of what you can do, and we love seeing your work in action!
✨Tip Number 4
Apply through our website! It’s the quickest way to get your application in front of us. Plus, it shows you’re genuinely interested in joining our team. Don’t miss out on the chance to be part of something exciting!
We think you need these skills to ace Data Labeling Expert - Remote
Some tips for your application 🫡
Show Off Your Attention to Detail: When you're writing your application, make sure to highlight your attention to detail. Mention any experience you have with data annotation or similar tasks, and give examples of how you've followed complex guidelines in the past. We love candidates who can demonstrate their precision!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to the Data Labeling Expert role. Use keywords from the job description and show us how your skills match what we’re looking for. It’ll make a big difference!
Keep It Clear and Concise: We appreciate clarity, so keep your application straightforward. Avoid jargon and long-winded explanations. Instead, focus on your relevant experience and skills that align with the role. A clean, easy-to-read application will catch our eye!
Apply Through Our Website: Make sure to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do – just follow the prompts and submit your details!
How to prepare for a job interview at YO IT CONSULTING
✨Know Your Stuff
Make sure you brush up on your understanding of document structures and annotation guidelines. Familiarise yourself with how to identify and classify different elements within PDF documents, as this will be crucial during the interview.
✨Show Off Your Attention to Detail
During the interview, highlight your ability to maintain accuracy while working on repetitive tasks. Share examples from your past experiences where your attention to detail made a significant impact on project outcomes.
✨Get Comfortable with Annotation Tools
If you have experience with any annotation tools or platforms, be ready to discuss them. If not, do a bit of research on popular tools used in the industry so you can speak confidently about them during the interview.
✨Ask Smart Questions
Prepare some thoughtful questions about the company's projects and their approach to data annotation. This shows your genuine interest in the role and helps you understand how you can contribute to their success.