Learn more about Sama's work with data curation

Choosing between in-house and outsourced data annotation shapes the quality, cost, and speed of your training data. This guide compares the two models (along with managed workforces and hybrid approaches), weighs the tradeoffs around quality, governance, and security, and explains how to select the right partner to scale your AI development.