AI / Data Annotation Practice Projects
This experience involved annotating datasets and evaluating AI-generated outputs for model training. Structured annotation guidelines were carefully followed to ensure accuracy and consistency. Tasks included identifying errors, labeling data, and providing structured feedback. • Annotated text datasets to support supervised machine learning. • Evaluated AI model outputs for quality. • Applied annotation guidelines to various data types. • Enhanced dataset reliability through careful review.