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.
Qualification path
What You Bring (Mandatory Qualifications):
Education: Minimum of a Bachelor’s Degree in any field. (Preferred: Architecture, Geography, Graphic Design, Game Design, or STEM fields).
Native Language: Native-level proficiency in your primary language is mandatory for labeling localized signage and environmental assets correctly.
English Proficiency: Minimum B1 (Intermediate) level English to follow technical spatial guidelines.
Visual-Spatial Skills: Strong "3D vision"—the ability to look at a flat screen and understand the depth and volume of objects.
Assessment:
In order to be hired into our community, you’ll go through a subject-specific qualification exam that will determine your suitability for the position and complete ID verification.
If you are interested in applying, please send a copy of your CV at
tiai_diverse_crowd@telusdig ... with the subject title "Expatriates - 3D Spatial Data Expert (India)"