Mini Jobber Ai Assistant Data Annotation
vor 7 Monaten
**Company Description** The QIMA story**
At QIMA, we are on a mission to offer our clients smart solutions to make products you can trust.
Operating in over 100 countries, we serve the consumer products, food, and life sciences industries and help more than 30,000 brands, retailers, manufacturers, and growers achieve quality excellence.
We combine on-the-ground expertise with digital solutions that bring accuracy, transparency and intelligence for quality and compliance data.
What sets us apart is our unique culture. Our 5,000 Qimers live and make decisions every day by our QIMA Values. With client passion, integrity, and a commitment to making things simple, we disrupted the Testing, Inspection, and Certification industry. Are you ready to hop on this exciting ride with us and help us achieve our mission?
QIMA Food is dedicated to helping every member of the global food supply chain ensure the safety and quality of food products, as well as safe working conditions and sustainable practices. With inspections, audits and certifications, we support food growers, producers and retailers, as well as businesses in food service and hospitality, securing their food products' journey from farm to shelf and fork.
**Job Description** In our warm and welcoming company, you will be assigned with these main tasks**:
The main responsibility will be to assist the AI Engineer with scientific data preparation
Key Responsibilities:
- Preparing and organizing data for AI model training
- Labeling regions of interest (ROIs) on hair follicle and skin images
- 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
**Qualifications** Job requirements**:
- Living in Münster, NRW, Germany
- 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
**Additional Information** 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
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