How to Build a Scalable Annotation Workflow for AI Projects
Scaling annotation isn’t just about labeling faster—it’s about building a repeatable, quality-controlled system. This post covers five essentials for scaling successfully: mapping your workflow, creating strong guidelines, piloting before scaling, embedding QA from the start, and leveraging automation. With the right system, you can handle higher volumes, larger teams, and faster iteration—without sacrificing quality.
