Learn more about Sama's work with data curation

Text annotation is the process that turns raw language into structured data that machine learning models can understand. This guide outlines the core annotation types, the workflows required to produce consistent training data, and the quality controls needed for scalable programs. Readers will leave with a clear framework for planning, executing, and evaluating text annotation in production environments.