Internship Teleoperation & Data Labeling

Reposted 28 Days Ago
3 Locations
Remote or Hybrid
Internship
Artificial Intelligence • Robotics • Software • Industrial • Automation
The Role
Hands-on internship operating robots via VR for data collection, labeling images and point clouds, running and modifying bash/Python tooling, performing basic debugging and log collection, collaborating with the engineering team, and traveling to sites within the EU as needed.
Summary Generated by Built In
Internship – Teleoperation & Data Labeling (m/f/d)

Who We Are

We build the intelligence that lets robots sense, reason, and act in the real world—moving beyond the lab and into everyday industrial settings like warehouses and factories. Our technology closes the automation gaps that traditional systems can’t solve. We are on a mission to redefine how physical work gets done, and we’re looking for curious, bold thinkers to help shape the future of robotics with us.

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.

  • Use terminal basics to run existing tooling (bash + Python scripts) for data collection, uploads, and checks

  • Do simple debugging: reproduce issues, collect logs, and write clear problem reports (steps, expected vs actual, timestamps, logs/screenshots)

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

  • Travel to different sites within the EU may be required

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).

  • Terminal basics (macOS/Linux): navigate directories, run commands, set env vars, read outputs

  • Comfortable working in a fast-paced environment.

  • Can run and modify existing Python scripts; comfortable executing bash/Python commands

  • Willingness to travel

  • Driving license valid in the EU is helpful (company car / rental), if available


Location:

  • Stuttgart-Vaihingen, Germany with occasional travel within the EU


Duration: Minimum 3 months, full-time (40 h/week)

Our interview plan:
  • Application

  • Take‑home assignment: You’ll complete a short, role‑relevant task with clear instructions and a deadline.

  • Cultural fit interview (40 min): A conversation about how you work, what motivates you, and what you’re looking for. Expect CV highlights, your “why,” and time for your questions.

  • On‑site assessment day: Meet the team at our office and collaborate on a real challenge similar to the work you’d do here. You’ll get a clear feel for the environment, ways of working, and the role.

What We Offer
  • Real-world experience with cutting-edge robotic systems.

  • 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.

Note to applicants: We are currently experiencing a high volume of interest in this role. Due to this, our review process is taking a bit longer than usual. We appreciate your patience.

Skills Required

  • Currently enrolled in or recently completed Bachelor's or Master's in Robotics, Engineering, Computer Science, or related field.
  • Ability to operate robots via VR headset for extended periods (alternative corrective options if you wear glasses).
  • Experience with terminal basics (macOS/Linux): navigate directories, run commands, set env vars, read outputs.
  • Ability to run and modify existing Python scripts; comfortable executing bash and Python commands.
  • Basic understanding of datasets and structured data workflows.
  • Strong attention to detail and ability to label visual data (images, point clouds) accurately and quickly.
  • Comfortable working in a fast-paced environment.
  • Willingness to travel to different sites within the EU.
  • Driving license valid in the EU (helpful if available).

Sereact Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sereact and has not been reviewed or approved by Sereact.

  • Retirement Support The U.S. package includes a 401(k) with a 100% company match up to 6%, signaling strong employer-backed retirement savings. This stands out as generous for a growth-stage startup.
  • Healthcare Strength Comprehensive medical, dental, and vision coverage for employees and dependents is described, indicating broad healthcare support. Such breadth addresses core protection needs across households.
  • Leave & Time Off Breadth 20 days of PTO alongside paid sick leave and paid parental leave are outlined, pointing to a well-rounded time-off offering. These provisions support rest, recovery, and family needs.

Sereact Insights

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The Company
HQ: Stuttgart
69 Employees

What We Do

Sereact's mission is to drive your economic growth by closing automation gaps in your intralogistics. Our AI software enables machines to perceive their environment and develop solution strategies on their own, thus qualifying them to become autonomous skilled workers. By leveraging embodied AI for robotics, we ensure that our systems not only think but also physically interact with their surroundings in an intelligent manner. Sereact's AI software for autonomous robotics fully automates pick-and-place processes, making them more efficient, reliable and resilient. Our goal is to optimize your supply chain with minimal integration effort to increase productivity in your warehouse from the first pick while significantly reducing costs.

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