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 2 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
How to Apply
