Atlas capture
focuses on collecting, reviewing, and labeling data that is used to improve the accuracy and performance of artificial intelligence systems. As a data labeler, the work involves analyzing different types of data such as images, text, audio, or location-based information, then accurately annotating and categorizing the data according to project guidelines.