AI Data Annotation Practice (Self-Initiated)
In a self-initiated AI data annotation project, I created and labeled datasets for text classification and intent recognition tasks. I practiced evaluating AI-generated responses, ranking outputs, and simulating real-world guideline-based annotation workflows. This experience furthered my expertise in improving data structure for machine learning models. • Created labeled datasets for text and intent recognition. • Performed prompt evaluation and ranking of AI outputs. • Simulated complex annotation scenarios based on guidelines. • Improved overall dataset quality for ML training.