Data Labeling Specialist

Plus is a global provider of highly automated driving and fully autonomous driving solutions with headquarters in Silicon Valley, California. Named by Forbes as one of America’s Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus’s open autonomy technology platform is already powering vehicles in commercial use today. Working with one of the largest companies in the U.S., vehicle manufacturers, and others globally, Plus is helping to make driving safer, more comfortable, and more sustainable. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from Fast Company , Forbes , Insider , Consumer Electronics Show , AUVSI , and others. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.

As a data labeling specialist, you will work on the development of our self-driving technology at Plus. You will play a crucial role in the improvement of our autonomous driving systems by ensuring high-quality and accurately labeled data in our algorithms. You will label images & objects that contribute to our deep learning network. In this role you will work with in-house tools to label images coming directly from our vehicles. Your attention to detail and ability to work with complex data sets will directly contribute to the advancement of our cutting-edge technology.

Responsibilities:

Use data annotation tools for different types of data annotation work.
Quality check annotation work from other labeling specialists.
Interact with engineering teams to help improve annotation guidelines.
Interact with team members to help us improve on the design of efficient annotation tools.
Acceptance test and issue feedback for new features of annotation tools.
Manage data annotation project progress to ensure timely delivery of projects and meet quality standards, which may include coordination with external vendors and internal engineering teams.

Qualifications:

B.S. or B.A. in a relevant field required (e.g. business, engineering, etc.)
Previous experience in data annotation
Ability to learn quickly and be able to prioritize assignments
Ability to handle confidential information professionally
Previous work experience at a tech startup
Reliable, have good initiative, committed and quality focusedDetail-oriented and patient
Passionate and curious about technology
Excellent written and verbal communication skills
Proficient computer skills utilizing keyboard/mouse
Available for on-site work schedule
Must have a valid driver’s license & knowledge of the roads