iMerit interview questions

Tell me about yourself. What is your understanding of Artificial Intelligence (AI) and Machine Learning (ML)? What do you understand by data annotation? Why do you want to work as a data annotator? Describe a challenging project you have managed. How do you handle repetitive tasks while maintaining accuracy? How do you ensure consistency and accuracy when annotating large datasets? How do you handle ambiguous or unclear data? What is your experience with different data types (text, image, audio, video)? Explain the difference between bounding boxes, polygon, and key-point annotation. How does the quality of OCR (Optical Character Recognition) output impact machine learning model performance? What tools have you used for data annotation?

Linux commands, Git commands, and Python.