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Remote Tesla Machine Learning Engineer Jobs in Jackson, MS

TSMG

AI/ML Data Contributor

Jackson, MS · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

TSMG

AI/ML Data Contributor

Jackson, MS · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

Hitachi

Senior Transformer Engineer

Crystal Springs, MS · On-site +1

$87K - $120K/yr

Engineering & Science Job Schedule: Full time Remote: Yes Senior Transformer Engineer The ... Access to learning platforms and career development programs * Competitive health and retirement ...

Hitachi

Production Capacity Planner

Richland, MS · Remote

Production & Skilled Trades Job Schedule: Full time Remote: No The opportunity Play a pivotal role ... Bachelor's degree in supply chain, engineering, business, or related field * Proven experience in ...

All JobsTesla Machine Learning Engineer JobsRemote Tesla Machine Learning Engineer JobsRemote Tesla Machine Learning Engineer Jobs in Jackson, MS

Remote Tesla Machine Learning Engineer information

See Jackson, MS salary details

$27.4K

$112.2K

$168.6K

How much do remote tesla machine learning engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for remote tesla machine learning engineer in Jackson, MS is $112,212.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,400.00 and $135,100.00 per year, depending on experience, location, and employer.

What does a Remote Tesla Machine Learning Engineer do?

A Remote Tesla Machine Learning Engineer is responsible for designing, developing, and deploying machine learning models to improve Tesla's products and services. Working from a remote location, they collaborate with teams to analyze large datasets, build predictive models, and optimize algorithms for applications such as autonomous driving, energy management, and manufacturing. They also ensure that machine learning solutions are scalable and meet Tesla's high standards for performance and safety.

What are some common challenges faced by Remote Tesla Machine Learning Engineers, and how can they be overcome?

Remote Tesla Machine Learning Engineers often face challenges such as collaborating across different time zones, ensuring effective communication with cross-functional teams, and maintaining access to high-performance computing resources. To overcome these, engineers typically use collaborative tools for code sharing and project management, participate in regular virtual meetings, and leverage Tesla's robust cloud infrastructure for experimentation and model training. Proactively seeking feedback and staying aligned with team goals are also key practices for success in this remote, fast-paced environment.

What are the key skills and qualifications needed to thrive as a Remote Tesla Machine Learning Engineer, and why are they important?

To thrive as a Remote Tesla Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning principles, typically demonstrated through a relevant degree or equivalent experience. Proficiency with Python, TensorFlow or PyTorch, cloud platforms, and version control systems is crucial, and certifications in AI/ML can be advantageous. Exceptional problem-solving, communication, and self-motivation are important soft skills for collaborating remotely and tackling complex projects. These skills enable engineers to design, implement, and scale innovative AI solutions that drive Tesla's technology forward.

What is the difference between Remote Tesla Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Tesla Machine Learning EngineerRemote Data Scientist
Required CredentialsDegree in Computer Science, Engineering, or related field; experience with ML frameworksDegree in Statistics, Mathematics, or related field; strong programming skills
Work EnvironmentCollaborates with engineering teams on autonomous systems and vehicle dataAnalyzes large datasets to extract insights for business or product decisions
Employer & Industry UsagePrimarily in automotive, tech, and autonomous vehicle sectorsAcross tech, finance, healthcare, and various industries

While both roles involve data analysis and machine learning, the Remote Tesla Machine Learning Engineer focuses on developing algorithms for autonomous vehicles, whereas the Remote Data Scientist analyzes data to inform business strategies. The roles share similar credentials but differ in application and industry focus.

What are the most commonly searched types of Tesla Machine Learning Engineer jobs in Jackson, MS? The most popular types of Tesla Machine Learning Engineer jobs in Jackson, MS are:
What are popular job titles related to Remote Tesla Machine Learning Engineer jobs in Jackson, MS? For Remote Tesla Machine Learning Engineer jobs in Jackson, MS, the most frequently searched job titles are:
What job categories do people searching Remote Tesla Machine Learning Engineer jobs in Jackson, MS look for? The top searched job categories for Remote Tesla Machine Learning Engineer jobs in Jackson, MS are:
What cities near Jackson, MS are hiring for Remote Tesla Machine Learning Engineer jobs? Cities near Jackson, MS with the most Remote Tesla Machine Learning Engineer job openings:
Remote Tesla Machine Learning Engineer jobs near you

AI/ML Data Contributor

TSMG

Jackson, MS • Remote

Part-time

Re-posted 20 days ago

Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.