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Freelance Tesla Computer Science Jobs (NOW HIRING)

Tesla

Technical Program Manager, Tesla AI

Palo Alto, CA · On-site

$151.80K - $196.50K/yr

Required : • Bachelor's Degree in Computer Science, Engineering, Operations, or a related field ... Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and ...

Tesla

Technical Program Manager, Tesla AI

Palo Alto, CA · On-site

$151.80K - $196.50K/yr

Required : • BS in Computer Science, Engineering, Operations, or a related field -- or equivalent ... Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and ...

Tesla

Sr. Software Engineer, Charging Payments

Fremont, CA · On-site

$134.50K - $177.30K/yr

... Tesla ownership experience on app and web to gain wider business knowledge Qualifications : Required : • Bachelor's Degree in Computer Science, Software Engineering, or similar areas of study, or ...

Tesla

Sr. Software Engineer, Payments Experience

Fremont, CA · On-site

$134.50K - $177.30K/yr

... Computer Science, Computer Engineering, Electrical Engineering, Statistics, proof of exceptional ... Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and ...

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How much do freelance tesla computer science jobs pay per hour?

As of May 30, 2026, the average hourly pay for freelance tesla computer science in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Freelance Computer Scientist working with Tesla, and why are they important?

To thrive as a freelance computer scientist for Tesla, you generally need a strong background in computer science, programming (especially Python, C++, or Java), and relevant experience in areas like artificial intelligence, machine learning, or embedded systems. Familiarity with development tools such as Git, cloud platforms (AWS, Azure), and Tesla's proprietary software or APIs is often required. Excellent problem-solving abilities, adaptability, and proactive communication make a freelancer stand out in this fast-paced, innovative environment. These skills and qualities are crucial for delivering high-quality, timely solutions that align with Tesla's technological standards and project needs.

How do freelance computer science professionals collaborate with Tesla teams on projects?

As a freelance computer science professional working with Tesla, you’ll typically engage in remote collaboration with in-house teams using project management and communication tools like Slack, Jira, or Trello. You may participate in regular virtual meetings to discuss progress, align on project goals, and address technical challenges. While you’ll have autonomy in your daily work, maintaining clear communication and timely updates is crucial for project success. Collaboration often involves integrating your code with existing systems, participating in code reviews, and adapting quickly to Tesla’s fast-paced, innovative environment.

What does a Freelance Tesla Computer Science professional do?

A Freelance Tesla Computer Science professional typically works on projects related to Tesla's software, data analysis, or systems development, but as an independent contractor rather than a full-time employee. Their work may involve developing applications for electric vehicles, optimizing algorithms for autonomous driving, or analyzing large datasets for machine learning models. These professionals use their computer science expertise to solve complex problems, often collaborating remotely with Tesla teams or clients. Freelancers enjoy flexible schedules and the ability to choose their projects, but also need to manage their own business operations.
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Technical Program Manager, Tesla AI

Technical Program Manager, Tesla AI

Tesla

Palo Alto, CA • On-site

$151.80K - $196.50K/yr

Full-time

Posted 15 days ago

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 automotive and AI sectors, and they are seeking a Technical Program Manager for their AI team. The role involves driving cross-functional programs related to data collection, data labeling, and AI operations, ensuring efficient execution and alignment across global teams.
Responsibilities:
• Lead end-to-end program management for Tesla AI initiatives spanning data collection, annotation/labeling pipelines, and new vehicle programs
• Define and maintain program roadmaps, milestones, and success metrics across multiple concurrent workstreams
• Coordinate with data operations, engineering, and QA teams to ensure high-quality labeled datasets are delivered on schedule
• Identify operational bottlenecks and drive process improvements to scale AI data pipelines and labeling workflows
• Track program status, surface risks early, and drive resolutions across engineering and operations stakeholders
• Serve as the primary point of contact for cross-functional alignment between Tesla's US and global teams
• Generate clear, concise program status reports and executive summaries communicating progress, blockers, and next steps
• Build and maintain tooling or scripts to automate program tracking, reporting, and workflow coordination
• Support new vehicle program launches by coordinating AI readiness milestones across teams
• Conduct or coordinate on-site reviews and operational assessments, including travel to global facilities
Qualifications:
Required:
• Bachelor's Degree in Computer Science, Engineering, Operations, or a related field, or equivalent practical experience
• 3+ years of technical program management or operations management experience, preferably in AI, autonomous vehicles, or a high-growth technology environment
• Understanding of machine learning fundamentals, data pipelines, and AI development workflows
• Excellent communication, organizational, and cross-functional collaboration skills
• Ability to thrive in a fast-moving, high-ambiguity environment with competing priorities
• Strong work ethic, attention to detail, and a drive toward action
• Passion for the future of transportation and AI technologies
Preferred:
• Experience managing large-scale data collection or labeling operations is a strong plus
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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