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Tesla Training Jobs (NOW HIRING)

Job Summary : Tesla is a leading company in the electric vehicle and AI space, seeking a Data ... training materials • Execute proper headcount allocation between quality control, labeling, and ...

Tesla is looking for a highly motivated Technical Writer to collaborate with engineers in ... training checklists, and maintenance instructions • Ensure MIs serve as the primary record for ...

Tesla is a leading company in artificial intelligence and automotive technology, seeking a Data ... training, ensuring data accuracy, and collaborating with engineering teams to meet project ...

Job Summary : Tesla is a leading company in the electric vehicle and AI space, seeking a Data ... training materials • Execute proper headcount allocation between quality control, labeling, and ...

AI Engineer, Data Scaling, Self-Driving

Palo Alto, CA · On-site

$134.80K - $161.80K/yr

Tesla is a leader in the AI industry, offering unparalleled resources for developing autonomous ... training and post-training • Develop innovative methods for data acquisition, clustering, and ...

Tesla people leaders are responsible for a variety of Environmental Health and Safety (EHS) assurance functions, including ensuring their teams' safety training is current, documenting EHS incidents ...

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Tesla Training information

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$28.5K

$53.2K

$78.5K

How much do tesla training jobs pay per year?

As of May 30, 2026, the average yearly pay for tesla training in the United States is $53,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $59,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Tesla Training Specialist, and why are they important?

To thrive as a Tesla Training Specialist, you need strong instructional design abilities, subject matter expertise in automotive technology or renewable energy, and a relevant bachelor's degree. Familiarity with learning management systems (LMS), e-learning authoring tools, and Tesla-specific technical platforms is highly valuable. Excellent communication, adaptability, and the ability to engage diverse learners are crucial soft skills in this role. These skills ensure effective knowledge transfer, support employee development, and help maintain Tesla’s high standards for innovation and safety.

What are some typical challenges faced by employees in Tesla Training roles, and how can they be addressed?

Employees in Tesla Training roles often face the challenge of keeping up with rapidly evolving technologies and processes, as Tesla is constantly innovating. Trainers must frequently update their materials and adapt to new systems, which requires strong learning agility and proactive collaboration with engineering and production teams. Another common challenge is delivering effective training to a diverse workforce with varying levels of technical knowledge, so clear communication and flexible instructional techniques are essential. Staying engaged with cross-functional teams and seeking continuous feedback can help trainers stay ahead and ensure impactful learning experiences.

What is a Tesla Training specialist?

A Tesla Training specialist is responsible for educating and training employees on Tesla's products, technologies, safety protocols, and company procedures. They design and deliver training programs for new hires and existing staff, ensuring everyone is up-to-date with the latest industry standards and Tesla innovations. These specialists may also support technical training for service technicians, sales teams, and manufacturing staff. Their goal is to ensure all employees have the knowledge and skills needed to excel in their roles and contribute to Tesla’s mission.

What is the difference between Tesla Training vs Electric Vehicle Technician?

AspectTesla TrainingElectric Vehicle Technician
Required CredentialsTesla-specific training, certifications, and hands-on experience with Tesla vehiclesASE certifications, general EV repair certifications, and automotive technician licenses
Work EnvironmentTesla service centers, showrooms, and specialized repair facilitiesAuto repair shops, dealerships, and independent service centers
Employer & Industry UsagePrimarily Tesla, within the electric vehicle and renewable energy industryVarious automotive brands, including EVs from multiple manufacturers

Tesla Training focuses on specialized skills for servicing Tesla vehicles, often requiring manufacturer-specific certifications. Electric Vehicle Technicians have broader credentials applicable across multiple EV brands and work in diverse automotive settings. Both roles are essential in the EV industry but differ in scope, certification, and work environment.

More about Tesla Training jobs
What cities are hiring for Tesla Training jobs? Cities with the most Tesla Training job openings:
What are the most commonly searched types of Tesla Training jobs? The most popular types of Tesla Training jobs are:
What states have the most Tesla Training jobs? States with the most job openings for Tesla Training jobs include:
Infographic showing various Tesla Training job openings in the United States as of May 2026, with employment types broken down into 2% Locum Tenens, 15% Internship, 73% As Needed, 5% Full Time, and 5% Summer. Highlights an 1% Physical, 12% Hybrid, and 87% Remote job distribution, with an average salary of $53,152 per year, or $25.6 per hour.
Data Labeler Manager

Data Labeler Manager

Tesla

Draper, UT • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers


Job description

Job Summary:
Tesla is a leading company in the electric vehicle and AI space, seeking a Data Labeler Manager to oversee a team responsible for annotating data for their AI software. The role involves managing performance, ensuring data integrity, and collaborating with engineering teams to enhance the efficiency of data labeling operations.
Responsibilities:
• 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
Qualifications:
Required:
• 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
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.

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