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Data annotation involves labelling or tagging data to make it understandable for AI systems. For example, identifying objects in images or transcribing audio. It's a crucial but often repetitive task that trains AI models. The story points out that data annotation, while the most balanced AI role for women, is also among the lowest paid, suggesting a pay disparity even within AI.
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