All terms
Data Annotation
Labeling raw data (text, images, audio, video) so it can be used to train or evaluate an AI model.
Data annotation covers a wide range of tasks: tagging objects in images, transcribing audio, marking the sentiment of a sentence, or flagging whether a video contains a specific action. It's usually less specialized than model evaluation work and pays less per hour, but has a lower barrier to entry and higher task volume on most platforms.
Example
Drawing a bounding box around every car in a set of street-scene photos, or labeling each sentence in a support ticket as "angry," "neutral," or "satisfied."