Start With the Model Failure
Define a labeling task from the AI behavior it must improve, not from a vague dataset name.
Do not start with label names. Start with the failed decision the AI is making. Discover the real miss Look at model outputs, escalation examples, user complaints, or evaluation slices. Ask what decision the system failed to make, who was affected, and what evidence a human can actually observe in the source item. Define the annotation decision Convert the miss into one decision per item. The test is whether a trained annotator can answer it without guessing intent, reading hidden context, or optimizing for what they think the model wants. Deliver a tight first spec A good first spec has…
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