Internship Teleoperation & Data Labeling
Sereact · Not provided by source
This listing is no longer available.
MeritLog keeps this source-backed description for reference. Availability is not verified, and there is no application link here.
Source: Arbeitnow. Open the original listing for current details. Availability is not verified for this retained page.
Job details
- Work model
- Not provided by source
- Salary
- Not listed by source
- Location
- Stuttgart Schockenriedstr. 17
Job description
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: 2 options for the location, depending on where you are based: • Stuttgart-Vaihingen, Germany with occasional travel within the EU • Czechia OR Netherlands with frequent travel within the country 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. Find Jobs in Germany on Arbeitnow
Keep exploring
Available Data & Analytics roles
These current listings are available to explore now.
- TrainerWayve · On-site
- Principal Machine Learning Engineer, Geometric VisionWayve · On-site
- Register your interest for Wayve in GermanyWayve · On-site
- Tech Lead, Autonomy Performance - RobotaxiWayve · Hybrid
- Director AI Integration and ApplicationsWayve · Not provided by source
- Demo OperatorWayve · Not provided by source