Annotators are individuals or tools that add notes, comments, or explanations to a text or dataset. Their primary role is to enhance understanding by providing context, clarifying meanings, or highlighting important information. This process is essential in various fields, including machine learning, where annotators label data to train algorithms. In the realm of natural language processing, annotators help improve the accuracy of models by tagging parts of speech, identifying entities, or categorizing sentiments. Their work ensures that the data used for training is well-organized and informative, ultimately leading to better performance of AI systems.