At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-centric technology, representing the pinnacle of computer vision, machine learning, and generative AI within the automotive sector.

With over $200M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, our technology is utilized in manufacturing plants, dealerships, wholesale auctions, delivery fleets, security checkpoints, and more.

Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity, encourages teamwork, and strives for excellence.

We are seeking a Data Operation Specialist to join our R&D Team in the US. The Data Operation Specialist will be responsible for performing data annotation and tagging tasks, collecting ground-truth data at various customer sites, and analyzing datasets using Python-based scripts. This role is crucial in ensuring high accuracy and quality standards while supporting the development and performance evaluation of AI algorithms.

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



• Perform data annotation and tagging tasks, ensuring high accuracy and quality standards.
• Collect ground-truth data at various customer sites and analyze datasets using Python-based scripts.
• Conduct performance reviews of third-party vendors and in-house team members, ensuring alignment with project goals.
• Review and validate diverse data sets to assist in training AI algorithms, providing constructive feedback on data validation processes.
• Collaborate with algorithm developers and various departments globally to bridge the gap between labeling concepts and technical constraints.
• Oversee multiple concurrent projects, pivoting tasks or shifting priorities as directed by the Team Lead.
• Drive continuous improvement in data operations by optimizing workflows and creating automation solutions using Python.
• Report on data insights and contribute to cross-department collaboration to meet project milestones.



• Proven background of 2+ years in data annotation, data labeling, or QA, with a strong grasp of the field.
• Technical background or a degree in Data Science, Computer Science, Statistics, or a related STEM field. Advanced degrees or certifications are a plus.
• Strong written and verbal communication skills for articulating project needs and collaborating effectively across departments.
• A keen eye for detail with a quality-oriented mindset, ensuring accuracy in all tasks.
• Experience in optimizing workflows and creating automation solutions using Python or similar languages.
• Familiarity with machine learning and deep learning concepts is advantageous.
• Willingness to travel to customer locations (up to 75% of the time), including driving and flying, with a valid Driver’s License.
• Positive attitude, enthusiastic, and highly motivated with a willingness to learn.
• Customer service and support experience is a plus.

Physical Requirements:

• Must be able to stand for long periods and work in various field conditions, including walking, kneeling, and inspecting vehicles under different weather conditions.

Benefits we offer:

• Competitive Medical, Dental, Vision.
• Company 401k Match.
• 20 PTO days, Company paid holidays.
• Career growth as we scale across the US.

Check out our Life at UVeye page to learn more about the employee experience.

UVeye is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

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.