Data Labeling / Annotation

The process of manually adding tags, categories, or other metadata to raw data so it can be used for supervised learning, for example drawing bounding boxes around objects in images or marking sentiment in customer reviews. High-quality labeled data is one of the most valuable and costly resources in AI development.
See also: supervised learning, training data, reinforcement learning from human feedback.