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IUNA AI

Working Student – AI Data Annotation & Quality Assurance

IUNA AI

. Support the development team in preparing training data for AI models .

Posted 9/17/2026part-timeRemote • GermanyEntry LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates proficiency in data annotation for AI models, with a focus on image segmentation and object detection. Capable of managing and structuring datasets while ensuring accuracy and consistency in data preparation.

Highest-signal resume keywords
Data AnnotationImage SegmentationObject DetectionDataset ManagementDeep Learning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data AnnotationImage SegmentationObject DetectionDataset ManagementDeep LearningComputer Vision
Soft Skills
Attention to DetailReliabilityAccuracy
Tools & Technologies
CVATLabelImgWindowsLinux
Industry Keywords
AI ModelsData PipelineTechnical FieldScientific Field

Tech Stack

Tools & technologies
Linux

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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