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The Samsung SDS AI Team is building the next generation of enterprise AI, Physical AI, and intelligent automation technologies that power real-world operations at global scale. Our teams work at the intersection of robotics, generative AI, computer vision, multimodal learning, and autonomous systems to create practical AI solutions for manufacturing, logistics, cloud infrastructure, and smart enterprise environments.

Unlike traditional research organizations focused purely on academic exploration, Samsung SDS combines advanced AI innovation with production-scale engineering and real-world deployment. Our engineers and researchers collaborate across robotics, Vision Language Models (VLMs), AI agents, data platforms, and automation systems to develop intelligent technologies that interact with and understand the physical world. From humanoid robotics and teleoperation systems to enterprise AI copilots and multimodal AI platforms, we are shaping how humans and intelligent machines work together in the future.

Interns joining the team gain hands-on experience with cutting-edge robotics platforms, AI-driven systems, immersive VR technologies, and large-scale data operations while working alongside experienced engineers and researchers solving real-world challenges in Physical AI and enterprise automation.

Becoming part of our team means being at the forefront of innovation. You'll collaborate with talented individuals-thought leaders, visionaries, and problem solvers-who are passionate about shaping the future of technology.

Here, your ideas matter. Whether you're just starting out or a seasoned professional, you'll find endless opportunities to grow and make a lasting impact. We foster a culture of collaboration, learning, and creativity, offering you the tools to hone your skills and realize your full potential.

• Must be enrolled in accredited college program.
• Must be authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future.
• 3 months commitment for 20 hours per week with availability to start June 8th, 2026
• Must be able to commute to the office to work 5 days per week onsite in Mountain View, CA

We are seeking highly motivated interns to help train and operate next-generation humanoid and mobile robotic systems powering the future of Physical AI. This internship offers a unique opportunity to work directly with cutting-edge robotics platforms, immersive VR systems, and real-world AI data collection environments.

As a Robotics Teleoperations Intern, you will help robots learn how to interact with the physical world by performing real-world tasks through advanced teleoperation systems. You'll collaborate with robotics engineers, AI researchers, and data teams contributing directly to the development of Vision Language Models (VLMs), robotic autonomy, and embodied AI technologies.

This is an ideal opportunity for students passionate about robotics, gaming, VR, AI, human-computer interaction, or emerging technologies.

• Operate humanoid robots, robotic arms, or mobile robotic systems using VR headsets, game controllers, and specialized teleoperation rigs.
• Perform repetitive real-world manipulation tasks such as stacking, sorting, assembling, organizing, and object handling to help train robotic AI systems.
• Capture and document robot behaviors, edge cases, failures, and unusual interactions to improve system learning and reliability.
• Perform data filtering based on specified criteria of data quality

Requirements

• Physical & Spatial Aptitude: Exceptional hand-eye coordination, fine motor control, and advanced spatial awareness Robot Teleoperator
• Gaming/Tech Comfort: Strong proficiency with VR systems, game controllers (e.g., PS5, Xbox).
• Ability to remain focused while performing repetitive physical tasks with high accuracy and consistency.
• Comfortable standing for extended periods and working onsite in a robotics lab or warehouse environment.
• Strong attention to detail and observational skills.

• Basic Python, shell scripting, or familiarity with Git/Linux
• Familiarity with robotics, teleoperation systems, or autonomous technologies.
• Basic knowledge of Python, Linux, shell scripting, or Git.
• Previous experience in gaming, esports, robotics clubs, makerspaces, or technical lab environments.

Benefits

• As an early career professional, you will be part of a paid internship program that will include a robust learning and training curriculum, mentorship from employees in your selected field, access to senior leaders, and more
• Hourly Rate: $ 30 per hour

• Work hands-on with advanced humanoid and AI-powered robotic systems.
• Contribute to real-world AI and robotics innovation shaping the future of automation.
• Gain exposure to Vision Language Models (VLMs), robotics operations, and embodied AI workflows.
• Collaborate with engineers and researchers building next-generation intelligent systems.
• Develop valuable technical, operational, and problem-solving skills in one of the fastest-growing areas of technology.
• If you are excited about robotics, VR, gaming technologies, and helping train the next generation of intelligent machines, we'd love to hear from you.

This role is based in our office in Mountain View, CA.  This is a part-- time internship role (up to 20 hours per week for 3 months) from June 8th through August 24th.

Please submit your application along with your resume and cover letter outlining your interest in the internship and relevant qualifications. 

Samsung SDS America, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, status as a protected veteran, marital status, genetic information, medical condition, or any other characteristic protected by law.

We are committed to providing reasonable accommodations to participate in the job application or interview process for candidates with disabilities. If you need assistance and/or a reasonable accommodation, please send the request to your recruiter.