Data Annotator
ImageClassification
On an Uber AI data annotation project, I contributed to labeling and validating large batches of structured and unstructured datasets used for model training. The scope included classifying user intent, tagging entities, and cleaning noisy data inputs to improve dataset reliability. I worked with thousands of data points, ensuring each annotation aligned with predefined taxonomy and labeling guidelines. Tasks involved edge case identification, ambiguity resolution, and maintaining consistency across similar data samples. Quality measures included guideline compliance checks, inter-annotator agreement targets, and periodic review cycles, where my annotations maintained high precision and minimal revision rates.
On an Uber AI data annotation project, I contributed to labeling and validating large batches of structured and unstructured datasets used for model training. The scope included classifying user intent, tagging entities, and cleaning noisy data inputs to improve dataset reliability. I worked with thousands of data points, ensuring each annotation aligned with predefined taxonomy and labeling guidelines. Tasks involved edge case identification, ambiguity resolution, and maintaining consistency across similar data samples. Quality measures included guideline compliance checks, inter-annotator agreement targets, and periodic review cycles, where my annotations maintained high precision and minimal revision rates.
2025 - 2026