Putting together useful training datasets requires a procedure known as “data annotation,” which entails classifying and labeling data. Training datasets are only useful if they have been properly organized and annotated for their intended purpose. Annotating data may seem like a mindless, repetitive task that takes no planning or forethought. Annotators need only prepare and