LiDAR Annotation / Point Cloud Specialist (Remote)
Company / Platform: Remotasks
Duration: Feb 8, 2020 to Feb 8, 2026
Key Responsibilities & Achievements:
Performed semantic segmentation of LiDAR point clouds, removing noise and irrelevant data.
Classified point cloud data into ground, vegetation, buildings, and other objects for AI/ML datasets.
Created 3D cuboid annotations for vehicles, pedestrians, animals, traffic signs, traffic lights, and barriers.
Prepared high-quality labeled and cleaned LiDAR datasets for machine learning and autonomous systems.
Utilized Remotasks tools for point cloud cleaning and annotation in a fully remote professional environment.
Currently learning CloudCompare to expand point cloud processing and analysis skills.
Experience: 5 - 10 years
Data Annotation Specialist with 6 years of experience in LiDAR Annotation, Semantic Segmentation / 3D Point Cloud Classification (vehicles, pedestrians, and other objects) Skilled in delivering high-quality labeled datasets that support AI/ML model training with precision and efficiency. Currently expanding expertise in CloudCompare for advanced point cloud processing.
“I have one of the best VAs I've had in a long time...she's been amazing”
Davonna Willis
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