Mini Jobber AI Assistant Data Annotation (m/f/d)

QIMA Life Sciences is a life science department of QIMA (https://www.qima.com/life-sciences) and brings together QIMA Bioalternatives, Newtone Technologies, and Monasterium Laboratory to offer a comprehensive range of research solutions in dermatology and pharmacology. Monasterium Laboratory is based in Münster, Germany. It is a research company specializing in pre-clinical and clinical services in dermatology for therapeutics, cosmeceutical, and nutraceutical applications, offering among other clinically relevant ex vivo and in vivo pre-clinical models and state-of-the-art techniques. Given the continuous growth of our company, we are seeking a team-orientated, highly motivated, and enthusiastic team player to join our team.

In our warm and welcoming company, you will be assigned with these main tasks

Key Responsibilities:

• The main responsibility will be to assist the AI Engineer with scientific data preparation

• Preparing and organizing data for AI model training

• Labeling regions of interest (ROIs) on hair follicle and skin images

• Applying transformations to existing images to increase the size of the training dataset

• Reviewing annotated images for accuracy and consistency

• Documenting the dataset structure and annotation guidelines

• Coordinating with Data Scientists, AI Engineers, and other team members to understand data requirements

Requirements

• Currently enrolled in a degree program at the University of Münster

• Interest in AI and a desire to learn and grow in a professional setting

• Basic experience with image processing and labeling tools (e.g. ImageJ)

• Basic understanding of computer software

• Precision and accuracy

• Good knowledge of written and spoken English

• Flexibility to work part-time during regular business hours

What we offer:

• Incorporation in a young and dynamic corporate environment
• Excellent learning and development opportunities to expand your skills and knowledge
• A dynamic and inclusive work environment with diverse and passionate colleagues
• A company culture that values respect, diversity, and social responsibility 
• Advanced technology in a modern workplace Flexible working hours
• Team building activities, company outings, and parties to build camaraderie