SereactPosted 2mo ago
Internship Teleoperation & Data Labeling
Internship Teleoperation & Data Labeling at Sereact scores 8 out of 100 on AI centrality, which makes it a Level 1 role on this board.
AI in this role
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)
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.
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A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you keep labeling instructions consistent across a large annotation team?
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
Adapt your resume
- List these exact terms on your resume: AI Data Labeling and Computer Vision. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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