Manually identifying images to be used in the training phase of an AI system. Companies do the labeling internally as well as outsource the task to India, China and other countries where labor rates are lower than the U.S.
Data labeling is a tedious job requiring people to sit at computers all day and type the names of things they see on screen. If there are multiple objects in the scene, the labelers isolate each item with the cursor and assign an identifying name to it such as woman, man, child, dog, car and truck. See
supervised learning.