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Glossary · The basics

Data labelling

Also called Data annotation

Data labelling is the human work of tagging examples so a model can learn from them: drawing boxes around cars in photos, marking a message as abusive, or ranking two chatbot answers. Much of it is done by contract workers around the world.

In one line, for a 12-year-old

Data labelling is people putting name tags on examples so the AI knows what it's looking at.

An example

When a website asks you to "click every square with a traffic light", you may be helping label images.

Why it matters to people

AI that looks automatic often rests on human labour that is low-paid and, for content moderation, sometimes distressing. Fair pay and mental-health support for these workers are part of responsible AI.