Label Studio

Label Studio is a widely used open-source tool for creating annotation workflows and collecting labeled data. Teams use it to build custom annotation interfaces, assign tasks to raters, collect feedback, and export labeled datasets for training and evaluation. It supports a range of data types and annotation formats, making it flexible enough for both simple classification tasks and complex preference-labeling workflows. For behavior architects and data teams working on model improvement, Label Studio provides the infrastructure for turning behavioral goals — defined in a spec or policy document — into labeled examples that training and evaluation systems can use. Its open-source nature makes it a common starting point before teams invest in commercial annotation platforms.