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. This is a repetitive, detail-focused image review that needs sustained concentration and consistent accuracy.

A day in the life and how you’ll make an impact

Annotate and tag raw visual data and images collected by our inspection systems, following detailed guidelines Review and validate annotations as part of your regular routine Support our Machine Learning algorithms teams by delivering clean, consistent labeled data Your labels are the training data behind our models, so the accuracy of your work directly affects how well they perform.

Requirements

• Ability to work on repetitive tasks with accuracy and consistency, and to stay focused on them over time
• Close attention to detail and the ability to follow complex guidelines
• Completed Bachelor's degree (a relevant field is an advantage)
• Interest in building a long-term career and growing at UVeye
• Excellent verbal and written English
• Proficiency in Microsoft Office
• Technical orientation and good computer skills
• Ability to work independently and as part of a team
• Self-motivated, proactive, and a quick learner

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. Work that matters: your labels are the training data behind our vehicle inspection models, so your accuracy shows up in how well they perform. Close to the technology: you will see how AI, machine learning and computer vision are applied to vehicle inspection, and support the teams that build it.