3D Spatial Data Expert (AI Community)

About the Role: At TELUS Digital , we are teaching AI to move from 2D screens into 3D reality. As a 3D Spatial Data Expert , you are the "Mapmaker of the Future." You will join our AI Community as a specialist tasked with identifying and labeling the physical world within 3D datasets, such as LiDAR (Light Detection and Ranging) and 3D meshes. While our Specialists handle complex physics and urban planning, you are the one who teaches the AI the "alphabet" of space—where a curb ends, where a pedestrian begins, and how a robotic arm perceives a shelf. At TELUS, you are helping to build the data foundation for autonomous vehicles, drones, and the industrial metaverse. What You’ll Do (Key Responsibilities): 3D Bounding Box Annotation: Placing precise 3D cubes (bounding boxes) around objects in point-cloud data to help AI identify their size, location, and orientation in space. Semantic Segmentation: "Painting" 3D maps to categorize different surfaces—distinguishing between a drivable road, a sidewalk, and a permanent obstacle. Point-Cloud Cleaning: Reviewing raw sensor data from self-driving cars or robots to remove "noise" (like rain or dust) so the AI sees a clear picture of reality. Simulated Data Validation: Comparing AI-generated 3D environments against real-world captures to ensure the digital version is a faithful "twin" of the physical one. Spatial Logic Testing: Answering simple questions about 3D scenes (e.g., "Is the drone's path clear of the overhead wire?") to validate the model's spatial reasoning.