Data Annotator – Lunar AI 'Fit Trip Tags'
As a Data Annotator for Lunar AI's 'Fit Trip Tags' initiative, I contributed to a human-in-the-loop data labeling project enhancing AI recommendation models using InsideAirbnb datasets. My responsibilities included rapidly analyzing unstructured text and categorical data to classify short-term rental listings into detailed traveler profiles. I maintained high accuracy and speed, processing complex profiles within short evaluation windows. • Classified listings by traveler type using unstructured descriptions, amenities, and property types • Supported AI model training by providing clear traveler-target labels • Operated within tight timeframes to ensure both processing rate and precision targets • Enhanced model quality through nuanced tagging and careful evaluation