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Data annotation is a crucial yet overlooked aspect of artificial intelligence development. It involves labeling data to make it usable for machine and deep learning, enabling AI algorithms to function effectively. Without the dedicated efforts of human data annotators, who perform the tedious task of categorizing images, sounds, and text, advanced AI remains ineffective. For instance, training an algorithm to identify cats requires detailed descriptions beyond basic attributes. This highlights the essential role of data annotators, who are the unsung heroes behind AI's ability to understand and interact with our world.