Associate- Data Annotation (3D LiDAR ) at Digital Divide Data

Role Summary

We are seeking disciplined, detail-oriented professionals to work with 3D LiDAR data for machine learning and autonomous vehicle development. You will contribute to training high-precision perception models by producing consistent, accurate annotations.

Key Duties and Responsibilities

• Data Annotation: Accurately label and annotate datasets (images, video, text, LiDAR, etc.) in line with project guidelines and client requirements.
• Quality Assurance: Consistently check and validate work to ensure data accuracy. Demonstrate readiness to transition into a QA role as project needs evolve.
• Tool Proficiency: Efficiently use various data annotation platforms and software tools to complete assigned tasks.
• Documentation: Maintain clear and detailed annotation records, highlighting ambiguities and challenges encountered.
• Collaboration: Work closely with team members, supervisors, and cross-functional units to ensure shared understanding and consistency in project execution.
• Feedback Integration: Actively engage in training, implement feedback, and continuously refine annotation quality and speed.
• Continuous Learning: Stay informed on evolving AI/ML annotation tools, methods, and best practices to enhance performance.
• Time Management: Plan and prioritize tasks effectively to meet productivity goals and project deadlines.

Qualifications

Minimum Requirements:

• Minimum 3 years of hands-on experience with LiDAR data annotation, 3D data labeling, or AV datasets.
• Proficiency with AV annotation tools
• Strong understanding of geospatial concepts, remote sensing, and 3D mapping.
• Close attention to detail and accuracy.
• Ability to follow structured guidelines and adapt quickly to client updates.
• Strong communication and teamwork skills.
• Diploma or Degree in Computer Science, Data Science, Information Technology, or related technical field.
• Certification in Data Annotation, 3D Mapping, Remote Sensing, or Machine Learning is an added advantage.
• Training or coursework in 3D visualization, spatial analysis, or autonomous systems