Remote Data Annotation Analyst (2D/3D AI Training)

Jobgether; South Africa; Remote; ZAR 180,000 - 300,000; Full time

Benefits offered by this job

Remote work with US flexibility

Company-provisioned machine

Flexible work environment

Access to specialized annotation tools

Job summary

Jobgether is seeking a Data Annotation Analyst in a South Africa-based, remote role to support autonomous systems through high-precision labeling of 2D images, video, and LiDAR data. You’ll work with calibration sessions and QA feedback to ensure data quality and consistency across complex scenes.

The position emphasizes adherence to detailed guidelines, spatial reasoning, and collaboration with an annotation team to evolve guidelines and datasets used in AI perception.

Qualifications

• Attention to detail in repetitive, visually intensive work
• Ability to interpret 3D environments and spatial relationships
• Experience with image/video/LiDAR annotation workflows
• Familiarity with annotation guidelines and QA feedback processes

Responsibilities

• Annotate 2D and 3D objects across images, video, and LiDAR data
• Create and maintain segmentation, tracking, pose, and keypoint annotations
• Apply detailed annotation specifications and occlusion rules
• Review work and respond to QA feedback to meet quality standards
• Document data quality issues and reproducible steps
• Participate in calibration sessions and guideline reviews
• Share edge cases to improve guidelines and taxonomies
• Maintain production volume with accuracy and consistency

Skills

Attention to detail

Spatial reasoning

3D object labeling

GenAI data workflows

Fast-paced environment

Efficient software navigation

Education

Associate or Bachelor's degree

Tools

Annotation tools

AutoCAD-like tools

Job description

Jobgether is seeking a Data Annotation Analyst in a South Africa-based, remote role to support autonomous systems through high-precision labeling of 2D images, video, and LiDAR data. You’ll work with calibration sessions and QA feedback to ensure data quality and consistency across complex scenes.

The position emphasizes adherence to detailed guidelines, spatial reasoning, and collaboration with an annotation team to evolve guidelines and datasets used in AI perception.