The role of the Associate - Data Annotation (3D LiDAR) involves working with 3D LiDAR data crucial for machine learning and autonomous vehicle development. The core purpose is to contribute to training high-precision perception models by producing consistent and accurate annotations. This is a full-time, onsite position located in Nairobi.
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 and Experience
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 (BA/BSc/HND) in Computer Science, Data Science, Information Technology, or related technical field.
Added Advantages:
- Certification in Data Annotation, 3D Mapping, Remote Sensing, or Machine Learning.
- Training or coursework in 3D visualization, spatial analysis, or autonomous systems.
.png){kind=logo}
