IUNA AI
11 - 50 employees
Founded 2019
🤖 Artificial Intelligence
Artificial Intelligence • Manufacturing • Quality Control
IUNA AI is a leading expert in weld seam inspection and AI vision systems for industrial manufacturing. The company provides complete solutions for visual quality control and inspection, enabling the automation and optimization of processes even without prior knowledge in industrial image processing. Their advanced systems allow for the highly automated inspection of various products and welding processes in real-time, identifying different types of errors and their exact locations, ultimately improving quality and reducing annual costs for customers by up to 80%.
Working Student – AI Data Annotation, Quality Assurance
🕒 April 21
🗣️🇩🇪 German Required
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IUNA AI
11 - 50 employees
Founded 2019
🤖 Artificial Intelligence
Artificial Intelligence • Manufacturing • Quality Control
IUNA AI is a leading expert in weld seam inspection and AI vision systems for industrial manufacturing. The company provides complete solutions for visual quality control and inspection, enabling the automation and optimization of processes even without prior knowledge in industrial image processing. Their advanced systems allow for the highly automated inspection of various products and welding processes in real-time, identifying different types of errors and their exact locations, ultimately improving quality and reducing annual costs for customers by up to 80%.
📋 Description
• You will support our development team directly in preparing training data for our AI models • You will annotate image data for tasks such as segmentation and object detection with high accuracy • You will review already annotated datasets for errors and consistency to ensure high training quality for our algorithms • Support in managing and structuring datasets within our pipeline
🎯 Requirements
• You are currently enrolled at a German university • You work carefully, are detail-oriented and reliable • Good German or English language skills • Advantageous (but not required): experience with annotation tools (e.g., CVAT, LabelImg) • Studying a technical or scientific field (Computer Science, Physics, Mechanical Engineering, or similar) • Basic interest in topics such as Deep Learning or Computer Vision
🏖️ Benefits
• Remote-first setup: You can work mostly from anywhere • Direct insight into a cutting-edge technology field • Autonomous work with a real learning curve • Flat hierarchies, a motivated team and no boredom • Possibility of joining the company after graduation based on good collaboration
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