Working Student - Labelling Robotics at Fernride

F
Fernride

Working Student - Labelling Robotics

de flag
Germany

On-site

Part Time

#Engineering

#Autonomous

#Logistics

#Data

#Python

#Machine Learning

#Robotics

Fernride is looking for a Working Student - Labelling Robotics

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Are you ready to help shape the future of logistics by working at the intersection of robotics and artificial intelligence? At FERNRIDE, we are transforming the industry with scalable, human-assisted automation solutions for yard trucking. Our technology helps major global players like Volkswagen, DB Schenker, and BSH increase productivity while improving safety and sustainability. With a diverse team of over 130 people from more than 35 countries, we pride ourselves on a culture built on ambition, innovation, and mutual respect. We invite you to join us and contribute to a mission that is actively solving real-world challenges like driver shortages and environmental impact.

What you bring

As a Working Student in Robotics Labelling, you will join our Engineering Autonomy team to ensure our autonomous and teleoperated trucks have the high-quality data they need to navigate the world safely. This is a part-time, on-site role based in Germany where your attention to detail will directly influence the performance of our perception and decision-making models. Your core responsibilities will include:

  • Annotating complex Lidar, image, and video data to create precise datasets for model training and validation.
  • Collaborating closely with our autonomy engineers to refine annotation guidelines and address specific edge cases.
  • Utilizing and potentially enhancing our internal automation scripts written in Python to streamline the labelling workflow.

Requirements

We are looking for a student who is currently pursuing a degree in robotics, computer science, AI, or a related field. You should be someone who takes pride in being meticulous and focused, as accuracy is vital when handling our multi-sensor datasets. While we value a strong work ethic, having prior exposure to machine learning concepts or experience with Python programming is considered a significant advantage. You must be fluent in English to communicate effectively within our international team, and you should be comfortable picking up new digital tools and systems quickly.

What we offer

We believe in supporting your professional growth and personal well-being through a balanced work environment. We provide several perks to ensure you feel energized and supported while working with us:

  • Flexible hours that accommodate your academic schedule.
  • Paid time off, including 20 days of vacation.
  • A daily lunch subsidy.
  • Access to all-day breakfast, unlimited snacks, fruits, and drinks.
  • Regular opportunities to connect through team, department, and company-wide events.

How to Apply

If you are passionate about autonomous systems and want to gain hands-on experience in a cutting-edge robotics environment, we would love to hear from you. Please submit your application to join our team and help us build the next generation of logistics technology.

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Fernride

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Company Size

101-250

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