What to Expect

The Data Labeling team is responsible for annotating images, videos, and other data for our Tesla AI software. Accurate data is the foundation for training our neural networks and serves as the ground truth for Tesla’s artificial intelligence. The team works cohesively with engineering teams to launch customer-facing releases.

The Data Labeler Manager will lead a team of Data Labelers that labels in 3D image data for neural network training. A successful candidate will have high attention to detail, an appreciation for data integrity, leadership skills to drive efficiency for medium-sized teams of annotators and adhere to clear instructions directed by leadership to deliver results.

What You'll Do

Conduct ongoing performance management: create coaching plans, track progress, conduct monthly 1:1’s, and complete monthly analyst reports
Evaluate daily performance in proprietary software to report daily summaries and team metrics to ensure the team is consistently exceeding expectations
Work directly with engineers and Tesla AI leadership and own annotation policies that require an understanding of both technical and operational constraints
Have a solid understanding of project guidelines to be able to communicate labeling concepts effectively, labeling inefficiencies, assist in creating documentation and training materials
Execute proper headcount allocation between quality control, labeling, and prioritize job queues daily as directed by leadership
Ensure documentation and daily planning for the team is accurate and consistently updated
Ensure team alignment with company policies
Other supervisory duties such as employee development, conducting bi-yearly performance reviews and monthly performance check-ins with Team Leads and Data Labelers, and accurately manage timekeeping

What You'll Bring

Experience managing and motivating medium-sized teams that perform manual operations
Ability to manage time efficiently, prioritizing tasks by order of precedence and completing in a timely manner
Proven record of accomplishments executing and meeting sensitive deadlines with experience managing multiple competing projects with limited resources
Strong problem-solving skills, with an aptitude for quickly learning systems with minimal training and can adapt in an ambiguous environment
Effective communication and presentation skills - can explain complicated topics and ideas in a clear and concise manner
Commitment to data accuracy and throughput

Compensation and Benefits

Benefits

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

Medical plans > plan options with $0 payroll deduction
Family-building, fertility, adoption and surrogacy benefits
Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
Healthcare and Dependent Care Flexible Spending Accounts (FSA)
401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
Company paid Basic Life, AD&D
Short-term and long-term disability insurance (90 day waiting period)
Employee Assistance Program
Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
Back-up childcare and parenting support resources
Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
Weight Loss and Tobacco Cessation Programs
Tesla Babies program
Commuter benefits
Employee discounts and perks program

Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.

Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

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Data Labeler Manager