E-Commerce Annotation Project - 2026
Jan 2026 - Feb 2026 (2 months)
1. Created and validated high-quality training datasets to improve AI understanding of e-commerce interactions across categories such as electronics, fashion, and home goods. 2. Performed ground truth validation by reviewing and correcting AI-generated customer–agent conversations to ensure accuracy, intent alignment, and consistency with defined guidelines. 3. Refined AI-generated text to improve clarity, tone, and human-like flow while preserving original intent, supporting reliable downstream classification tasks. 4. Applied step-by-step logical reasoning to customer support scenarios, clearly documenting decision paths required for accurate intent classification and resolution mapping. 5. Ensured strict adherence to quality, coherence,