Data Labeling Expert - Remote
YO IT Consulting · Seattle, WA
- Hybrid
- Full-time
- $55,000 / year
- Seattle, WA
Job highlights
- Annotate PDF documents for AI model training.
- Identify, classify, and label document entities.
- Ensure accuracy in bounding boxes and reading order.
- Follow complex annotation guidelines precisely.
- Contribute to AI model development directly.
About the role
About YO IT Consulting
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.
Key skills/competency
Data Annotation, PDF Annotation, Machine Learning, AI Training, Data Labeling, Bounding Boxes, Classification, Document Structure, Data Security, Attention to Detail
Skills & topics
- Data Annotation
- Data Labeling
- AI
- Machine Learning
- PDF Annotation
- Document Analysis
- Remote
- Contract
- YO IT Consulting
- Data Entry
How to get hired
- Tailor your resume: Highlight any data annotation or labeling experience. Emphasize attention to detail and ability to follow guidelines.
- Showcase relevant skills: Mention familiarity with document structures and annotation tools in your application.
- Prepare for the interview: Be ready to discuss how you approach repetitive tasks and maintain accuracy.
- Research the company: Understand YO IT Consulting's focus on AI infrastructure and client collaborations.
Technical preparation
Practice annotating documents with bounding boxes.,Familiarize yourself with common document structures.,Understand classification and reading order concepts.,Review basic AI and machine learning principles.
Behavioral questions
How do you ensure accuracy in repetitive tasks?,Describe your process for following complex guidelines.,How do you handle ambiguous annotation cases?,How do you manage your time for task completion?
Frequently asked questions
- What qualifications are essential for a Data Labeling Expert at YO IT Consulting?
- A Bachelor's degree in any field is required, with a preference for Technology, Engineering, or Data-related disciplines. While not mandatory, 6 months to 2+ years of experience in data annotation or labeling is beneficial. Strong attention to detail and the ability to follow complex annotation guidelines are crucial for success in this role.
- What are the primary responsibilities of a Data Labeling Expert for YO IT Consulting?
- The primary responsibilities include accurately annotating PDF documents by drawing precise bounding boxes around entities like text, tables, and figures. You will also classify these elements, ensure correct reading order, and handle complex document layouts while adhering strictly to data security policies.
- Is there specific software or tools I need to be familiar with for this Data Labeling Expert role?
- While familiarity with annotation tools or platforms is a plus, it is not strictly required. The company will likely provide training on their specific tools. However, a basic understanding of document structures and the ability to interpret rules for bounding boxes and classification are important.
- How important is attention to detail for the Data Labeling Expert position at YO IT Consulting?
- Attention to detail is extremely important for this role. Your accurate annotation of PDF documents directly impacts the training of AI models. Maintaining high accuracy, ensuring precise bounding boxes, and following complex guidelines are critical to the success of YO IT Consulting's projects.
- Can I work remotely as a Data Labeling Expert for YO IT Consulting?
- Yes, this Data Labeling Expert position at YO IT Consulting is a remote role. This allows flexibility in your work location, provided you have the necessary setup to perform your duties effectively.