Building a Data Labeling Team

10 min read

Whether you're building an in-house annotation team or working with contractors, here's how to structure your data labeling workforce for success.

Data Labeling Team Structure

  • Project Manager - Oversees annotation workflow, timelines, and quality metrics
  • Lead Annotators / SMEs - Subject matter experts who guide the team and handle escalations
  • Data Annotators - The core labeling workforce creating training data
  • QA Reviewers - Check annotation quality and provide feedback

Hiring Considerations for Annotators

  1. Domain expertise vs. general annotation experience—medical data needs domain knowledge
  2. Full-time employees vs. crowdsourced or managed workforce
  3. Time zones and availability for your project timeline
  4. Language and cultural context for text annotation projects
  5. Attention to detail and ability to follow guidelines consistently