FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore 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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesLinux
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
