Working Student - Labelling (Robotics)

Job Description

FERNRIDE, a company specializing in scalable automation solutions for yard trucking, is seeking a Working Student to join their Engineering – Autonomy team. This role involves annotating multi-sensor datasets to develop safe and reliable autonomy for their autonomous and teleoperated yard trucks. The successful candidate will play a critical role in ensuring the quality of labelled data used in model training, testing, and validation.

The role involves:

• Labeling Lidar, image, and video data according to detailed internal annotation guidelines
• Ensuring consistency and precision in all labelled data used for training and evaluation
• Flagging edge cases, data ambiguities, or anomalies to improve labelling clarity and tooling
• Collaborating with autonomy engineers to align on use cases, edge conditions, and quality expectations
• Contributing to continuous improvements of our labelling process and documentation
• Supporting validation and review of labelled datasets to uphold high-quality training standards
• Using and potentially improve automation scripts written in Python

The requirements are:

• Currently enrolled in a Bachelor’s or Master’s program in computer science, robotics, cognitive systems, AI, or a related field
• Reliable, focused, and meticulous – especially when working on repetitive tasks
• Fluent in English (spoken and written)
• Comfortable using digital tools and are quick to learn new systems
• Prior exposure to machine learning or data annotation tools is a plus
• Prior experience programming in Python is a plus

FERNRIDE offers:

• Flexible working hours
• All-day breakfast and unlimited drinks, fruits, and snacks
• Lunch subsidy
• Team, department, and company events
• 20 days of vacation