Data Annotation Interview Experience I recently attended an interview for a Data Annotation role. The process began with an HR screening call, where they asked about my background, familiarity with data labeling tools, and my understanding of data annotation in AI/ML projects. In the first round, I was given a short practical test. This involved labeling images and text according to specific guidelines they provided. They evaluated speed, accuracy, and consistency. Some tasks included identifying objects in images, categorizing text sentiment, and tagging entities in a dataset. The second round was a technical + process interview with the project lead. They asked about: My experience with annotation tools like LabelImg, Labelbox, or CVAT. How I handle ambiguous cases in labeling. The importance of annotation quality for model training.