Data Tagging

Description At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we pioneered the world's first fully automated suite of AI-powered vehicle inspection systems, combining computer vision, machine learning, and generative AI. With over $380M in funding and strategic partnerships with Toyota, Amazon, General Motors, JLR, Volvo, and Hertz, our technology is deployed across manufacturing plants, dealerships, wholesale auctions, fleets, and seaports worldwide. Named one of Fast Company's Most Innovative Companies of 2026, our 300+ global employees are solutions-oriented, accountable, and driven by one shared goal: making roads safer for everyone. We're looking for talented people for an entry-level position in the high-tech industry to join our Data Tagging Team. A day in the life and how you’ll make an impact: Annotate, tag, and analyze raw visual data and images collected by our systems Support our Machine Learning algorithms teams Task management and interfaces with data taggers in Israel and globally Requirements Excellent verbal and written English Proficiency in Microsoft Office Technical orientation and good computer skills Proactivity, can-do attitude, and high attention to the little details Ability to work independently and as part of a team Dynamic, self-motivated and fast learner Ability to follow complex guidelines Ability to work in repetitive tasks with accuracy & Consistency Bonus if you have: Familiarity with the automotive market Relevant academic degree - advantage Why UVeye: Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle inspections. Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale. Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships.