How to build a labeling workflow for AI training data

A labeling project can look simple when the spreadsheet is small. Give reviewers a list of examples, ask them to mark intent, quality, sentiment, fraud, or whatever the model needs, then train on the result. The trouble starts when two smart people label the same record differently and both can explain why. I learned to write labeling rules before scaling the work. Not a long policy document…