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Tesla Ai Jobs (NOW HIRING)

Tesla

Data Labeler Manager

Dallas, TX · On-site

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 ...

Tesla

Data Labeler Manager

Draper, UT · On-site

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 ...

Tesla

AI Safety Operator

Austin, TX · On-site

$17.50 - $23.50/hr

Tesla is seeking a highly motivated AI Safety Operator to join their vehicle FSD team. The role involves driving an engineering vehicle for data collection and ensuring operational safety while ...

Tesla

AI Safety Operator

Draper, UT · On-site

$16.50 - $22.25/hr

Tesla is seeking a highly motivated AI Safety Operator to join their vehicle FSD team. In this role, you will be responsible for driving an engineering vehicle for data collection and ensuring the ...

Economic Intelligence Co.

$150 - $230/hr

AI-lab, model-company, or serious research experience: OpenAI, Anthropic, DeepMind, FAIR / Meta GenAI, Thinking Machines, SSI, Tesla AI, xAI, Mistral, Cohere, Character, Adept, Cursor, Cognition ...

Tesla

Staff Software Engineer, FinTech

Fremont, CA · On-site

... AI technologies or tools for automation in financial workflows is highly desirable Company : Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable ...

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How much do tesla ai jobs pay per year?

As of Sep 7, 2026, the average yearly pay for tesla ai in the United States is $108,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $148,500.00 per year, depending on experience, location, and employer.

What is a Tesla AI?

A Tesla AI job involves working on artificial intelligence and machine learning technologies to advance Tesla's autonomous driving, robotics, and energy solutions. Employees in these roles develop and optimize neural networks, perception models, and AI-driven decision-making systems. Tesla AI engineers typically work on projects like the Full Self-Driving (FSD) software, Tesla Bot, and AI-powered manufacturing processes. These roles require expertise in deep learning, computer vision, reinforcement learning, and large-scale data processing.

What are the key skills and qualifications needed to thrive in the Tesla AI position?

To thrive as a Tesla AI professional, you need advanced expertise in machine learning, deep learning, computer vision, and data analysis, typically supported by a degree in computer science, engineering, or a related discipline. Familiarity with frameworks like TensorFlow or PyTorch, experience in large-scale neural network training, and proficiency with software development tools are commonly required. Strong problem-solving abilities, creativity, and effective communication skills are important for collaborating within multidisciplinary teams and innovating in fast-paced environments. These capabilities are crucial for developing autonomous systems and AI-driven solutions that power Tesla's products and set industry standards.

What is the typical team structure and work environment for Tesla AI roles?

Tesla AI professionals typically work within collaborative, cross-functional teams composed of experts in software engineering, robotics, data science, and hardware design. The environment is fast-paced and innovation-driven, with frequent opportunities to participate in brainstorming sessions, peer code reviews, and cutting-edge research initiatives. You may be expected to work closely with product managers and engineers from other departments to integrate AI solutions directly into Tesla's vehicles and services. This dynamic structure fosters rapid skill development and encourages employees to take ownership of projects, helping to accelerate both personal and professional growth.

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Tesla Ai jobs near you
Infographic showing various Tesla Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $108,329 per year, or $52.1 per hour.

Data Labeler Manager

Tesla

Dallas, TX • On-site

Full-time

Re-posted 22 days ago

Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 689 frontline employees who took The Breakroom Quiz

1st of 45 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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