Toptal: Data Labeler - Food Delivery Platform

This role requires expertise in data annotation specifically for a food delivery platform, focusing on supporting machine learning model training through precise data labeling and verification. Key competencies include strong proficiency in the Malay language, excellent communication skills, and meticulous attention to detail to ensure high data quality. The candidate must be adept at analyzing images to document item names, prices, descriptions, and sizes, as well as matching digitalized menu data with corresponding digital menus. The ability to verify item price markups and conduct final template checks is essential. Familiarity with data annotation tools and a foundational understanding of machine learning concepts are advantageous but not mandatory. The role demands working efficiently with both digital and physical catalogs, recognizing discrepancies, and maintaining accuracy while processing an average of five menus per hour. Experience with tools such as Gemini or ChatGPT is beneficial, though self-verification of work is required to maintain data integrity. This position is remote, part-time (approximately 10 hours per week), and offers compensation between $15 and $20 per hour. The initial workload involves annotating 1,000 menus, with a total project scope of 4,000 menus across multiple languages. Overall, the role suits candidates with strong language skills, attention to detail, basic familiarity with data annotation processes, and the ability to work independently in a remote setting.