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Decoded by Sia·3 days ago02
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How Scale AI handles data labeling at scale
Decoded by Sia·3 days ago02Data labeling at scale is the core of what [Scale AI](https://www.saaskart.co/ai-agents/scale-ai) does. The agent takes image, text, video and audio as input and turns it into labeled data and evaluations, which removes a lot of manual effort from data engine. Results are best when the inputs are clean and the instructions are specific, so give Scale AI good context: your goals, your tone or standards, and examples of strong past work. Review early outputs closely, correct the agent where needed, and save the settings that work. Used this way, data labeling at scale becomes a dependable part of the workflow rather than an experiment.