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Internship Tesla Ai Jobs (NOW HIRING)

INSPYR Solutions

AI Engineer

Dallas, TX · On-site

Internship, co-op, or professional engineering experience within a large-scale technology-driven ... Apple, Meta, Tesla, Oracle, or similar enterprise environments * Undergraduate STEM degree ...

Formlabs

AI Software Intern (Fall 2026)

Somerville, MA · On-site

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Internship Term: Fall 2026 (September 14 through December 18, 2026) Commitment : Full-time (40 ...

FlexAI

Software Engineer, New Grad

San Jose, CA · On-site

$100K - $150K/yr

... Tesla, Intel and Zoox, FlexAI is not just building a product - we're shaping the future of AI. Our ... At least one internship - ideally in a high-growth startup or infrastructure environment * Strong ...

Faraday Future

Community Operations Intern

El Segundo, CA

$16.25 - $21.25/hr

FF is committed to redefining mobility through AI innovation. Join us in shaping the future of ... Competitive internship stipend * Hands-on mentorship from experienced professionals * Potential for ...

Faraday Future

Community Operations Intern

El Segundo, CA

$16.25 - $21.25/hr

FF is committed to redefining mobility through AI innovation. Join us in shaping the future of ... Competitive internship stipend * Hands-on mentorship from experienced professionals * Potential for ...

FieldAI

Humanoid Engineer, Manipulation

Irvine, CA · On-site

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field ... or internships with daily hardware exposure * Hands-on experience with robotic manipulation ...

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How much do internship tesla ai jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for internship tesla ai in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What is the difference between Internship Tesla Ai vs Data Science Intern?

AspectInternship Tesla AiData Science Intern
Required CredentialsEnrolled in or recent graduate of Computer Science, AI, or related fieldsEnrolled in or recent graduate of Data Science, Statistics, or related fields
Work EnvironmentInnovative tech company, automotive and AI labsTech companies, research labs, or corporate data teams
Employer & Industry UsageUsed by Tesla for AI development and autonomous vehicle projectsCommon in tech, finance, healthcare for data analysis and modeling

Internship Tesla Ai focuses on AI and autonomous vehicle technologies, requiring skills in machine learning and software development. Data Science Internships emphasize data analysis, statistical modeling, and insights generation. While both roles involve data and programming, Tesla Ai internships are more specialized in AI applications within automotive tech, whereas Data Science Internships are broader in data analysis across industries.

What types of projects do interns typically work on during a Tesla AI internship?

Tesla AI interns are often assigned to projects that directly contribute to the development and improvement of Tesla’s autonomous driving and machine learning systems. These projects may involve data collection and annotation, building and training neural networks, or developing tools to optimize AI model performance. Interns work closely with experienced engineers and researchers, gaining exposure to real-world applications and cutting-edge technology. The fast-paced environment encourages collaboration and innovation, providing valuable hands-on experience that can accelerate a career in artificial intelligence and robotics.

What is a Tesla AI Internship?

A Tesla AI Internship is a temporary, hands-on position for students or recent graduates to work with Tesla's Artificial Intelligence and Autopilot teams. Interns collaborate with engineers and researchers to develop advanced AI models, contributing to projects such as self-driving technology, computer vision, and deep learning. The internship provides real-world experience, mentorship, and opportunities to work on cutting-edge technology that impacts Tesla’s products and services. Candidates typically need a strong background in computer science, machine learning, or related fields, and proficiency in programming languages like Python or C++.

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

To thrive as a Tesla AI Intern, you generally need a strong background in computer science, mathematics, and machine learning, typically supported by coursework or a degree in a related field. Familiarity with programming languages such as Python or C++, experience with deep learning frameworks like TensorFlow or PyTorch, and knowledge of data processing tools are commonly required. Strong analytical thinking, problem-solving ability, and effective teamwork skills help interns excel in dynamic, innovative environments. These competencies enable interns to contribute meaningfully to cutting-edge AI projects and collaborate efficiently with multidisciplinary teams.
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Infographic showing various Internship Tesla Ai job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

1.53 Robotics Research Internship, Humanoid Manipulation (Summer 2026) | PhD Internship

FieldAI

Boston, MA

$40 - $60/hr

Other

Posted 28 days ago

Job description

FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use.

We are offering a Summer 2026 internship focused on humanoid manipulation for PhD students interested in advancing embodied intelligence on real robotic systems. As a research intern, you will work at the intersection of robotics research and applied engineering, contributing to manipulation capabilities for humanoid robots that directly support FieldAI's autonomy and robot learning efforts.
 
You will collaborate closely with Field AI research scientists and engineers to design experiments, develop manipulation systems, and test ideas on real hardware. This internship emphasizes translating research into practical, scalable systems, while also contributing to longer-term efforts around embodiment-agnostic robotics foundation models.
What You Will Get To Do
  • Advance Humanoid Manipulation Research
  • Design, implement, and evaluate manipulation strategies for humanoid robots across diverse tasks.
  • Explore loco-manipulation problems that integrate perception, planning, and control.
  • Contribute to research projects from early ideas through on-robot experimentation.
  • Build Systems That Bridge Research and Deployment
  • Translate research concepts into working robotic systems tested on real hardware.
  • Develop experimental setups and tooling to support data collection and evaluation.
  • Help ensure manipulation systems are robust, reproducible, and field-relevant.
  • Contribute to Robotics Foundation Model Development
  • Support data collection pipelines used to train robotics foundation models.
  • Work with embodiment-agnostic representations to enable transfer across robot platforms.
  • Collaborate with researchers to integrate manipulation data into scalable learning frameworks.
  • Collaborate Across Disciplines
  • Partner with mechanical and electrical engineers on hardware integration and system bring-up.
  • Work with teleoperators and field teams to refine interfaces and improve manipulation outcomes.
  • Engage closely with researchers and engineers to align experiments with broader autonomy goals.
  • Rapidly Iterate and Learn
  • Prototype quickly, run experiments on hardware, and analyze results rigorously.
  • Balance exploratory research with concrete deliverables over the course of the internship.
  • Debug system-level issues spanning software, hardware, and learning.
What You Have
  • Current PhD student in Robotics, Computer Science, Mechanical Engineering, AI/ML, or a closely related field.
  • Research experience in robotic manipulation, loco-manipulation, or related robotics domains.
  • Strong foundation in robot kinematics, dynamics, and control.
  • Proficiency in Python and/or C++, with experience using robotics or ML tooling.
  • Experience designing experiments and evaluating results on robotic systems (simulation or hardware).
  • Curiosity, initiative, and a strong interest in embodied intelligence and real-world robotics.
The Extras That Set You Apart
  • Prior experience working with humanoid robots or dexterous robotic hands.
  • Background in learning-based manipulation, including imitation learning or reinforcement learning.
  • Hands-on experience running experiments on real robot hardware.
  • Familiarity with ROS or ROS 2.
  • Publications, preprints, or open-source contributions in robotics or AI.
  • Interest in bridging cutting-edge research with practical, field-ready robotic systems.
$40 - $60 an hour
Why Join Field AI?
FieldAI is tackling one of robotics' hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most.

You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX.

Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally.

Be Part of the Next Robotics Revolution
Solving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability.
We are headquartered in Mission Viejo (Irvine adjacent), Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world.

Equal Opportunity
FieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.
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.
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