Bulba T2
The Bulba T2 project was a data annotation initiative focused on creating high-quality labeled datasets to support the training of advanced AI models. It involved carefully tagging and classifying data, such as text, images, or audio, following strict guidelines to ensure accuracy, consistency, and relevance. My role included understanding project requirements, applying precise labels, conducting quality checks, and meeting productivity targets while maintaining data integrity. Through Bulba T2, I enhanced my skills in annotation tools, attention to detail, and data quality assurance, while gaining deeper insight into how structured datasets contribute to AI model performance. The project strengthened my ability to work efficiently in a collaborative, tech-driven environment, ensuring each labeled item met the standards required for machine learning applications.