project Uolo
I contributed to AI model training on the Uolo project under Appen Ltd, where I performed high-precision data labeling, conversational response evaluation, and quality validation to improve model accuracy and reduce output errors. I consistently followed strict annotation guidelines to identify intent, sentiment, and edge cases in AI-generated responses while maintaining strong accuracy and compliance with safety standards. I prioritized quality-driven task completion, analytical reasoning, and independent remote work discipline to support reliable dataset training outcomes