Data labeling
The project consisted of labeling and evaluating data for training Artificial Intelligence models. The work involved analyzing content such as images, text, or advertisements and classifying them according to specific guidelines provided by the platform. Activities included identifying relevant characteristics in the data, evaluating potential policy violations, classifying quality or relevance levels, and ensuring that information was correctly categorized. The goal was to improve the ability of AI systems to understand, filter, and organize content more accurately and securely.