The process of data labeling involves annotating raw data-such as text, images, audio, or video-for application by machine learning (ML) models. Without proper labels, ML models cannot learn to either make predictions or understand patterns effectively. Data labeling lies at the nexus of raw information and actionable insights, allowing for its implementation into either natural language processing, computer vision, as well as recommendation engine applications.