The data annotation and labelling process is the central operation of the facility, where annotators apply labels to various types of data, including text, images, video, and audio. This process follows task-specific guidelines provided by the client or the facility and is supported by a combination of manual efforts and AI-assisted tools, depending on the complexity of the task. The outcome is a labelled dataset that serves as the foundation for training and validating AI/ML models.