AI Data Labeling & Annotation Specialist – Game & Behavioral Data
Worked on labeling and annotating large-scale datasets to support AI model training, with a focus on gameplay behavior and system interactions. Annotated player actions, categorized in-game events, and structured datasets for machine learning pipelines. Applied consistency guidelines to ensure high-quality labeled data across thousands of entries, improving model accuracy and reliability. Collaborated with development workflows to align labeled data with real-world system behavior and edge cases.