Working Student (m/f/d) Data Annotation

Requirements:

YOUR PROFILE

• Enrolled student in technical field (e.g. Engineering / IT)
• Basic knowledge of Python and Ubuntu is a significant plus
• Eagerness to learn and solve problems related to software and annotation tools
• Excellent attention to detail
• Fluency in English and meticulous adherence to instructions when annotating samples
• Residency in Germany

Needed key skills

• Artificial Intelligence (AI)
• Attentiveness
• Collaboration
• Computer skills
• Design software
• Development
• Problem-solving skills
• Python
• Resolving issues

Responsibilities:

YOUR TASKS

• Perform data labeling for AI models, including semantic segmentation, detection, and keypoint annotation
• Tackle issues related to annotation tools, where understanding Python and Ubuntu will be highly beneficial
• Install and manage software or packages on Ubuntu, solving any problems that may arise
• Maintain high standards of quality and data security while working independently

Bonuses

Possibility of remote work with onsite events every 6 weeks. 24th and 31st of December off (or time off in lieu). Tuesday’s team lunches with a 15€ Lieferando (food delivery) budget. Frequent on- and offsite (e.g. in video below) team events, weekly common lunches, and other Corporate Benefits. Access to 1:1 conversations with certified psychologists and a vast collection of webinars, workshops and more via Likeminded. Regular and diverse workshops.

Another info

This position is an excellent opportunity for students looking to gain experience in AI for robotics and is designed as a stepping stone for significant growth and development within Energy Robotics. Your commitment to learning and improving, especially in areas of programming and data annotation, could lead to other opportunities within our dynamic team.
We are offering this working student position, open to individuals interested in contributing to semantic segmentation, object detection, and keypoint annotation projects. The role involves using annotation tools like CVAT and LabelMe. While extensive knowledge of Python and Ubuntu is not a strict requirement, it is considered a significant advantage for troubleshooting and managing software packages.

Location:

• Germany

Employment type:

• Part-time, Remote work

Employer provided salary: 1 € Annually

Vacancy for Human

Necessary education:

• Higher