Remote 2D/3D Data Annotation Analyst

Jobgether

Australia

Remote

AUD 55,000 - 75,000

Full time

9 days ago
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Benefits offered by this job

Flexible working environment
Remote work availability
Company-provisioned machine
Opportunity to work on cutting-edge AI

Job summary

Jobgether is seeking a Data Annotation Analyst based in Australia to label 2D/3D objects across images, video, and LiDAR, enabling high-quality ground-truth datasets for autonomous systems. You will follow detailed annotation specifications, maintain consistency across sequences, and collaborate with QA teams during calibration sessions.

Ideal candidates will have experience with image, video, LiDAR annotation tools and a background in spatial interpretation.

Qualifications

  • Associate or Bachelor’s degree is a plus.
  • Experience with image, video, LiDAR, or 3D annotation tools preferred.
  • Background in spatial interpretation of physical environments advantageous.

Responsibilities

  • Annotate 2D and 3D objects across images, video and LiDAR.
  • Create and maintain segmentation, tracking, pose, and keypoint annotations.
  • Apply detailed annotation specifications and inclusion/exclusion criteria.
  • Review work and respond to QA feedback to meet quality standards.
  • Identify ambiguous scenes and tooling issues; document findings clearly.
  • Participate in calibration sessions and guideline reviews.
  • Share observations to improve guidelines and documentation.
  • Maintain production volume with accurate, reliable annotations.

Skills

Attention to detail
Spatial reasoning
Annotation tools & software
GenAI data workflows
Fast-paced environment
Tool learning ability
Remote work readiness
Autonomous/robotics domain knowledge

Education

Associate or Bachelor's degree

Tools

Annotation software
AutoCAD
3D/Point cloud tools

Job description

Jobgether is seeking a Data Annotation Analyst based in Australia to label 2D/3D objects across images, video, and LiDAR, enabling high-quality ground-truth datasets for autonomous systems. You will follow detailed annotation specifications, maintain consistency across sequences, and collaborate with QA teams during calibration sessions.

Ideal candidates will have experience with image, video, LiDAR annotation tools and a background in spatial interpretation.

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