Labelers, in the context of machine learning and data science, are individuals or teams responsible for annotating and labeling data. This data is then used to train machine learning models. The tasks performed by labelers can include tagging images, classifying text, transcribing audio, and identifying objects in videos. Their work is crucial for supervised learning, where models learn from labeled examples.
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