Working Student – AI Data Annotation & Quality Assurance

🔥 3 minutes ago

🇩🇪 Germany – Remote

⏱ Part Time

⚪️ Entry-level

🔧 QA Engineer (Quality Assurance)

🚫👨‍🎓 No degree required

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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IUNA AI

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2019

🚘 Automotive

🏗️ Construction

💼 Consulting

Automotive • Construction • Consulting

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

• Support the development team in preparing training data for AI models • Precisely annotate image data for segmentation and object detection • Review annotated datasets for errors and consistency • Support the management and structuring of datasets within the data pipeline

🎯 Requirements

• You are currently enrolled at a German university or university of applied sciences • You work carefully, accurately, and reliably • You have your own laptop or PC (Windows or Linux) • You can support us for 10–20 hours per week and are interested in a long-term collaboration • Good command of German or English • Experience with annotation tools (e.g., CVAT, LabelImg) is a plus, but not required • A degree program in a technical or scientific field (e.g., computer science, physics, mechanical engineering, or a related discipline) is a plus, but not required • Basic interest in deep learning or computer vision is a plus, but not required

🏖️ Benefits

• Remote-first setup: Work from almost anywhere • Gain direct insight into a cutting-edge technology field • Work independently with a genuine learning curve • Flat hierarchies, a motivated team, and no shortage of variety • With a successful collaboration: Opportunity to join the company after graduation