Data Annotator
I worked as an AI Data Annotator specializing in hospitality datasets, managing and interpreting data from 90+ rental listings across platforms like Airbnb, VRBO, and Booking.com. * Label and classify large volumes of guest communication data, including sentiment (positive, negative, neutral) and intent (inquiries, complaints, booking requests) * Extract and structure key data points such as booking dates, guest details, pricing, and service issues for accurate dataset creation * Apply strict annotation guidelines to ensure consistency and high-quality outputs across all labeled data * Perform data validation and quality assurance by reviewing annotations, correcting inconsistencies, and maintaining dataset accuracy. * Handle repetitive labeling tasks with strong focus, ensuring uniform decision-making across similar data patterns. * Organize and maintain structured datasets used for training AI models in customer service and property management contexts. * Use pattern recognition and rule-based logic to interpret guest behavior and categorize data effectively. * Collaborate with tools and platforms to manage and align real-world data with annotation requirements. * Deliver reliable, clean, and well-structured data that supports AI model performance and improves automated guest experience systems.