Data Labeling Expert - Remote

About the role

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.

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.

Requirements

• 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.