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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: Remote work, flexible hours, and the chance to shape AI technology.
- Other info: Join a dynamic team with opportunities for growth in tech.
- Why this job: Make a real impact on the future of machine learning and AI.
- Qualifications: Attention to detail and basic understanding of document structures 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.
Qualifications
- 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.
Details
- Location: Remote
- Job Type: Contract
Data Labeling Expert - Remote in Manchester 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 in Manchester
✨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 that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Prepare for interviews by practising common questions related to data annotation and AI. We recommend doing mock interviews with friends or using online platforms to get comfortable talking about your skills and experiences.
✨Tip Number 3
Showcase your attention to detail! During interviews, highlight specific examples of how you’ve successfully followed complex guidelines in past roles. This will demonstrate that you’re the perfect fit for the Data Labeling Expert position.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Labeling Expert - Remote in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights any relevant experience in data annotation or similar roles. We want to see how your skills align with the job description, so don’t be shy about showcasing your attention to detail and familiarity with document structures!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a great fit. We love seeing genuine enthusiasm for AI and machine learning, so let that passion come through!
Follow the Guidelines: When applying, make sure to follow any specific instructions we’ve laid out in the job posting. This shows us that you can follow complex guidelines, which is super important for the Data Labeling Expert role!
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’s quick and easy – what’s not to love?
How to prepare for a job interview at YO IT CONSULTING
✨Know Your Stuff
Make sure you brush up on your understanding of data annotation and the specific tools used in the industry. Familiarise yourself with common document structures like tables and forms, as well as the guidelines for bounding boxes and classification. This will show that you're not just a candidate, but someone who genuinely understands the role.
✨Attention to Detail is Key
Since this role requires a strong attention to detail, be prepared to discuss how you've demonstrated this in past experiences. Bring examples of times when your meticulousness made a difference, whether in previous jobs or academic projects. Highlighting your ability to follow complex guidelines will set you apart.
✨Practice Makes Perfect
If you can, try out some annotation tools before the interview. Even if you don’t have extensive experience, showing that you’ve taken the initiative to learn about the tools and processes will impress your interviewers. It’s all about demonstrating your willingness to adapt and grow in the role.
✨Ask Smart Questions
Prepare thoughtful questions about the company’s projects and the specific challenges they face in data annotation. This shows that you’re not only interested in the job but also invested in the company’s success. Plus, it gives you a chance to assess if this is the right fit for you too!