3d/2d annotations
A 3D LiDAR Annotator in Remotasks works on “3D Tasks” where you label objects inside a fully 3D scene built from LiDAR point‑cloud data often captured by a vehicle so the data can be used for AI/computer-vision training
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I have hands-on experience in data labeling and AI training data, specifically as a 3D LiDAR Annotator for autonomous driving and robotics projects. My work involved accurately labeling and classifying objects such as vehicles, pedestrians, and infrastructure in complex 3D point cloud data using tools like SuperAnnotate and Scale AI. I consistently achieved over 98% accuracy through rigorous multi-stage quality control processes. My strong attention to detail, problem-solving abilities, and proficiency with digital productivity tools enable me to deliver high-quality, reliable annotations that enhance machine learning models for computer vision applications. I am committed to maintaining data integrity and supporting the development of advanced AI systems.
A 3D LiDAR Annotator in Remotasks works on “3D Tasks” where you label objects inside a fully 3D scene built from LiDAR point‑cloud data often captured by a vehicle so the data can be used for AI/computer-vision training
Bachelor of Science, Office Administration
Image and Video annotator