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
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
We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status. If interested kindly submit your application on or before 31.01.2026
About Digital Divide Data (DDD)Digital Divide Data (DDD) is a US-based non-profit, mission-driven enterprise with the goal of using technology and digital skills to bridge the divide between economically and socially marginalized youth and employment opportunities that lead to a sustainable and viable future. DDD identifies talented but underserved youth in Africa and Asia (Kenya, Cambodia, and Laos are the main centers) to enter formal employment, undergo professional training and skills development, and pursue tertiary education. Our headquarters are in New York, and we have over 1,500 employees across our operations in Kenya, Cambodia, and Laos.Purpose of the roleThe Linguist performs quality translation, copy edit tasks, and on-demand video tasks, and ensures that the work is performed at a satisfactorily high standard within the specified deadlines and quality level; ensures that the Language Process is being followed when executing all tasks.
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