annotátor
An annotátor, or annotator, is a person or software component that adds annotations to raw data. Annotations provide structured information, labels, or metadata that make data interpretable by humans or machines. In data science, annotators create labeled datasets used to train, validate, and evaluate machine learning models, while in linguistics and corpus work they mark linguistic features or annotations on texts.
Annotation occurs across modalities. Text annotation includes tasks such as part-of-speech tagging, lemmatization, named-entity recognition, and
The annotation workflow typically involves guidelines, qualification tasks, sample checks, and ongoing quality control. Inter-annotator agreement
Common tools support labeling tasks and project management, and many platforms offer web-based interfaces for crowdwork