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Internship Teleoperation & Data Labeling

Sereact
Full-time
Remote
Germany

Internship – Teleoperation & Data Labeling (m/f/d)

Location: Stuttgart-Vaihingen, Germany – 100 % on-site presence
Duration: Minimum 3 months, full-time (40 h/week)

Who We Are

We are a rapidly growing embodied-AI company revolutionizing human labor. Leveraging cutting-edge robotics and advanced artificial intelligence, we develop transformative technologies that redefine how work is done across multiple industries—empowering businesses to streamline operations, boost productivity, and unlock new possibilities.

Overview

We are looking for a tech-savvy intern with a passion for robotics, machine learning, or computer vision who wants hands-on experience in teleoperation and operating state-of-the-art robots. This role is perfect for someone eager to learn, contribute, and gain practical exposure to advanced AI-driven robotic systems.

Your Responsibilities

  • Robot Teleoperation: Collect high-quality data by controlling robots through a VR headset.

  • Data Labeling: Label visual data (images, point clouds) with speed and precision.

  • Basic Debugging: Assist in identifying and resolving minor coding issues.

  • Collaboration: Work with a fast-paced, innovative tech team.

Your Qualifications

  • Currently enrolled in or recently completed a Bachelor’s or Master’s program in Robotics, Engineering, Computer Science, or a related field.

  • Strong attention to detail.

  • Basic understanding of datasets and structured data workflows.

  • Comfortable wearing a VR headset for extended periods (note: our VR headsets cannot accommodate eyeglasses; alternative corrective options required).

  • Comfortable working in a fast-paced environment.

  • Basic understanding of Python and robotics.

What We Offer

  • Real-world experience with cutting-edge robotic systems.

  • Free meals and drinks at the workspace.

  • Fitness membership with Wellpass.

  • Regular team events and a supportive team culture.

  • An opportunity to develop hands-on skills in a high-growth robotics company.