At Tesla, we're revolutionizing the automotive industry and changing the way people around the world think about transportation. As a Data Annotation Supervisor, you will play a crucial role in our mission by overseeing and managing the team responsible for annotating and labeling data for our cutting-edge autonomous driving technology. We are looking for a highly organized and detail-oriented individual with a passion for data and a proven track record of leadership. If you are looking for a challenging and rewarding opportunity to make a difference in the future of transportation, this could be the perfect role for you.
- Supervise and manage a team of data annotation specialists responsible for labeling and annotating data for our autonomous driving technology.
- Ensure that all data annotations are accurate, consistent, and completed within the required timelines.
- Develop and maintain standard operating procedures for data annotation processes.
- Train and onboard new team members on data annotation techniques and protocols.
- Monitor team performance and provide regular feedback and coaching to improve productivity and quality.
- Collaborate with cross-functional teams to understand and prioritize data annotation needs.
- Analyze data annotation workflows and identify areas for improvement and optimization.
- Ensure data security and confidentiality protocols are followed at all times.
- Stay up to date with industry developments and best practices in data labeling and annotation.
- Create and maintain documentation and reports on data annotation processes and outcomes.
- Identify and resolve any issues or roadblocks that may impact the team's productivity.
- Foster a positive and collaborative work environment that encourages innovation and continuous improvement.
- Participate in interviews and assist with the recruitment of new team members.
- Set goals and objectives for the team and track progress towards achieving them.
- Act as a liaison between the data annotation team and other departments within the company.
- Continuously monitor and improve data quality and consistency to support the development of our autonomous driving technology.
Extensive Knowledge And Experience In Data Annotation Techniques And Tools, Particularly In The Automotive Industry.
Strong Leadership And Management Skills, With The Ability To Effectively Guide And Supervise A Team Of Data Annotators.
Proficient In Data Analysis And Quality Control Methods, With The Ability To Identify And Rectify Any Issues Or Discrepancies In Annotated Data.
Excellent Communication And Collaboration Skills, With The Ability To Work Closely With Cross-Functional Teams And Communicate Effectively With Stakeholders.
In-Depth Understanding Of Tesla's Products, Technologies, And Processes, With A Strong Passion For The Company's Mission And Values.
Communication Skills
Project Management
Data Analysis
Time Management
Team Management
Attention to detail
Leadership
Quality Control
Collaboration
Problem-Solving
Technical Proficiency
Decision-Making
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Attention to detail
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Data Annotation Supervisor in Palo Alto, CA, USA is $115,000 - $150,000 per year. This can vary depending on the specific company and level of experience. Some supervisors may make less than $115,000 while others may make more than $150,000. Factors such as education, certifications, and years of experience can also impact salary.
Apply with Video Cover Letter Add a warm greeting to your application and stand out!
Tesla, Inc., is an American electric vehicle and clean energy company based in Palo Alto, California. The company specializes in electric vehicle manufacturing, battery energy storage from home to grid scale and, through its acquisition of SolarCity, solar panel and solar roof tile manufacturing.

Get interviewed today!
JobzMall is the world‘ s largest video talent marketplace.It‘s ultrafast, fun, and human.
Get Started