Tagging Specialist @ UVeye
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Overview
At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Our pioneering work with the world's first fully automated suite of vehicle inspection systems is driven by advanced AI-centric technology and strategic industry partnerships. As a Tagging Specialist, you will work closely with our UV360 technology to test, collect ground-truth data, document performance, and provide detailed reports.
Responsibilities
- Perform data annotation and tagging tasks with high accuracy.
- Collect ground-truth data at various customer sites.
- Document and report on algorithm detection rates and system performance.
- Provide constructive feedback on the data validation process.
- Collaborate with global teams and pivot priorities as directed.
Requirements
- Technical background or degree in a STEM field.
- Automotive knowledge related to exterior vehicle structures.
- Keen attention to detail and quality orientation.
- Strong written and verbal communication skills.
- Ability to work independently and as part of a team.
- Willingness to travel up to 3 times a month across the US and a valid driver’s license.
- Customer service experience is a plus.
Benefits
- Competitive Medical, Dental, and Vision coverage.
- Company 401k Match.
- 20 PTO days and company paid holidays.
- Opportunities for career growth as we scale across the US.
About UVeye
Founded in 2016 and backed by over $380M in funding, UVeye partners with industry giants such as Toyota, Amazon, General Motors, Volvo, and Hertz. Our team of over 200 employees is dedicated to innovation and diversity, making a global impact in the automotive sector through cutting-edge AI, computer vision, machine learning, and generative AI.
Key skills/competency
- Data Annotation
- UV360
- Algorithm Testing
- Ground-truth Data
- Automotive
- AI
- Quality Control
- Collaboration
- Technical Reporting
- Data Validation
How to Get Hired at UVeye
🎯 Tips for Getting Hired
- Customize your resume: Align skills with UVeye requirements.
- Research UVeye: Understand their AI and automotive impact.
- Highlight relevant experience: Showcase data tagging expertise.
- Prepare for interviews: Review technical and communication examples.