What to Expect

We are looking for a driven team member to contribute to the development of our Autopilot & Full Self Driving software at Tesla to accelerate the world’s transition to sustainable energy. This person labels images & videos that contribute to our deep learning network. In this role you will work with in-house tools to label data coming directly from the Tesla fleet of vehicles.  

No previous experience in AI or data labeling required. The perfect candidate for this role is adaptable, can apply logic to multiple different scenarios, is attentive to detail, has experience with computers and other software, and enjoys a fast-paced work environment. This team provides all onsite training to help you be successful in this role. This is a full-time, on-site position.

Shift: 9:00AM – 5:30PM

Option 1: Wednesday, Thursday, Friday, Saturday, Sunday

Option 2: Saturday, Sunday, Monday, Tuesday, Wednesday

What You’ll Do
Use in-house tools to label images for the Autopilot team 
Interact with team members to help us improve on the design of an efficient labeling interface 
Gain basic computer vision and machine learning knowledge to better understand how the labels are used by our learning algorithms
Make judgement calls on difficult edge cases that might come up during labeling
What You’ll Bring
Must have working knowledge of the laws and rules of the road 

Passionate and curious about technology 

Able to work in a fast-paced environment, learn quickly and be able to prioritize assignments 

Able to follow directions, detail-oriented, patient, and quality focused 

Communicate clearly using excellent written and verbal skills 

Must be reliable, have initiative, and professional while able to work independently and on a team 

Proficient in Microsoft Office Suite – Experience with photo or video editing software is a plus

Draper, Utah

Full time