What are the responsibilities and job description for the Data Annotator (Autonomous Vehicle) position at RLink Solutions?
Job Title: Data Annotator (Autonomous Vehicles)
Duration: 6 months
Location: San Francisco, CA
Top 3 responsibilities:
- Annotate visual 3D data (LiDAR/Point Cloud) and 2D camera imagery using bounding boxes, cuboids, polygons, and pixel-level semantic segmentation.
- Identify, label, and classify objects and environmental details according to strict project instructions and taxonomies.
- Label static road features and traffic landmarks to assist in the creation of High-Definition (HD) maps.
What will a typical workday look like?
You will be at the forefront of AI development, transforming raw sensor data into high-quality training sets for our self-driving algorithms.
Work closely with engineers to refine labeling guidelines and improve model performance.
● Essential Qualifications: Proven proficiency in LiDAR or Point Cloud systems, or alternatively, a relevant undergraduate degree demonstrating superior 3D spatial reasoning.
● Preferred Experience: A minimum of three years of professional experience specific to Autonomous Vehicle data labeling.
● Value Proposition: Emphasize that workers contribute to the fundamental safety and functional rollout of autonomous driving technology.
● Critical Constraints: Requires full-time physical presence on-site, adherence to rigorous production benchmarks, and successful completion of a comprehensive background investigation.
Salary : $32 - $40