Entry-level Data Labeler / AI Annotator (practice and coursework)
As an entry-level Data Labeler / AI Annotator, I gained hands-on experience in text classification, sentiment analysis, and image tagging for AI model training. I adhered strictly to quality guidelines and maintained a target accuracy of over 97% on tasks. The work involved the use of open-source annotation tools and focused on both Indonesian and English language data. • Performed accurate data annotation to support high-quality AI models • Labeled various data types, including text and images, according to precise instructions • Practiced with open-source labeling software to optimize annotation quality • Paid close attention to language and cultural details in Indonesian subject matter.