Jong Min Han
About Jong Min Han
Jong Min Han is a Quality Operations Specialist at Scale AI, where he has worked since 2018. He has previous experience as a Courtesy Clerk at Safeway, a Driver for Uber, and a Microsoft Expert at Best Buy.
Work at ScaleAI
Jong Min Han has been employed at Scale AI since 2018, serving as a Quality Operations Specialist. In this role, he is responsible for ensuring the quality and accuracy of data used in artificial intelligence applications. His work contributes to the efficiency and effectiveness of machine learning models, supporting the company's mission to provide high-quality training data.
Previous Employment Experience
Before joining Scale AI, Jong Min Han held several positions in various companies. He worked at Safeway as a Courtesy Clerk from 2013 to 2014, where he assisted customers and maintained store operations. He then transitioned to Uber, working as a Driver from 2015 to 2016, providing transportation services in Santa Barbara, California. Following his time at Uber, he joined Best Buy as a Microsoft Expert from 2016 to 2018, where he provided technical support and product knowledge to customers.
Education and Expertise
Jong Min Han studied Computer Science at Santa Barbara City College from 2014 to 2016. During his two years of study, he gained foundational knowledge in programming, software development, and computer systems. This educational background supports his current role in quality operations, where technical skills are essential for evaluating data quality and operational processes.
Background
Jong Min Han has a diverse work history that spans several industries, including retail, transportation, and technology. His early experience as a Courtesy Clerk at Safeway provided him with customer service skills, while his role as a Driver for Uber enhanced his understanding of logistics and client interaction. His subsequent position at Best Buy allowed him to develop technical expertise, particularly in Microsoft products, which complements his educational background in Computer Science.