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Sereact

Internship Teleoperation & Data Labeling

Sereact is hiring an Internship Teleoperation & Data Labeling . Level rates it ; you can apply on Sereact.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • The posting mentions AI data labeling and computer vision among its tools and skills.
  • Level classes it as an internship.
  • Sereact has 42 other open roles on Level.

AI in this role

ai-data-labelingcomputer-vision
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

  • You pay close attention to detail and enjoy precise, careful work

  • You’re comfortable with computers and curious about tech. Some experience with the command line or Python is a plus, but we’ll teach you what you need

  • You stay calm and focused in a fast-moving team

  • You’re open to occasional travel

  • Nice to have: a driving license valid in the EU


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.

How we rate this

Internship Teleoperation & Data Labeling at Sereact rates 5 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI Data LabelingComputer vision

Questions you could be asked

  1. How do you keep labeling instructions consistent across a large annotation team?
  2. 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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