Data Annotation Analyst – 2D/3D Vision (Denmark, Remote)

Jobgether; Denmark; Remote; DKK 180,000 - 240,000; Full time

Benefits offered by this job

Remote work flexibility

Company-provisioned machine

Access to specialized annotation tools

Collaboration with AI teams

Professional development opportunities

Job summary

Jobgether, on behalf of a partner company, seeks a Data Annotation Analyst based in Denmark to support autonomous and operator-assisted AI systems. You will label 2D/3D data from images, video, and LiDAR, ensuring precise segmentation and object annotations across sequences.

Ideal candidates maintain high accuracy, follow detailed guidelines, and collaborate with QA and annotation teams to improve taxonomy and documentation in a flexible, remote setup.

Qualifications

• Associate or bachelor's degree is a plus.
• Experience with image annotation or GenAI data workflows.
• Familiarity with image, video, LiDAR, or 3D annotation tools is preferred.
• Strong attention to detail and ability to perform repetitive, visually intensive work.

Responsibilities

• Annotate 2D and 3D objects across images, video, and LiDAR point clouds.
• Create and maintain segmentation, object tracking, pose, and keypoint annotations.
• Apply annotation specifications, including occlusion rules and inclusion criteria.
• Review work, respond to QA feedback, and meet quality standards.
• Participate in calibration sessions and guideline reviews.

Skills

Detail-oriented

Spatial reasoning

3D annotation understanding

Fast-paced production work

Independent work capability

Education

Associate or Bachelor's degree

Tools

AutoCAD

Annotation tools

Job description

Jobgether, on behalf of a partner company, seeks a Data Annotation Analyst based in Denmark to support autonomous and operator-assisted AI systems. You will label 2D/3D data from images, video, and LiDAR, ensuring precise segmentation and object annotations across sequences.

Ideal candidates maintain high accuracy, follow detailed guidelines, and collaborate with QA and annotation teams to improve taxonomy and documentation in a flexible, remote setup.