3D Data Annotation Specialist — Vision & LiDAR

Jobgether; Netherlands; On-site; EUR 32,000 - 46,000; Full time

Benefits offered by this job

Remote work option to US

Company-provisioned machine

Access to specialized tools

Collaborative AI-focused team

Flexibility in working styles

Job summary

Jobgether is recruiting a Data Annotation Analyst based in the Netherlands for a partner company. The role focuses on creating high-quality ground-truth datasets used to train perception models, working with images, video, and LiDAR data to label objects and environments.

You will collaborate with QA teams, follow detailed annotation specs, and contribute to advanced AI applications in complex real-world settings. A company-provisioned machine and remote work options may apply.

Qualifications

• Strong attention to detail and the ability to maintain accuracy during repetitive, visually intensive work.
• Strong spatial reasoning skills and ability to interpret 3D environments and relationships.
• Ability to learn and navigate specialized software efficiently.
• Experience with image annotation or GenAI data workflows.
• Background in spatial interpretation or related fields is advantageous.

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/exclusion criteria.
• Review work, respond to QA feedback, meet quality standards.
• Document data quality issues and participate in calibration sessions.

Skills

Spatial reasoning

Attention to detail

Annotation workflows

GenAI data workflows

Fast-paced environment

Education

Bachelor’s degree

Associate degree

Tools

AutoCAD

Image/Video/LiDAR annotation tools

Job description

Jobgether is recruiting a Data Annotation Analyst based in the Netherlands for a partner company. The role focuses on creating high-quality ground-truth datasets used to train perception models, working with images, video, and LiDAR data to label objects and environments.

You will collaborate with QA teams, follow detailed annotation specs, and contribute to advanced AI applications in complex real-world settings. A company-provisioned machine and remote work options may apply.