Data Annotator in Santa Clara, California

Data Annotator

We are looking for a highly skilled Data Annotator to join our AV labs team. In this role, you will be at the forefront of AI development, transforming raw sensor data into high-quality training sets for our self-driving algorithms. You will handle complex tasks ranging from 3D object detection to granular semantic segmentation and HD map annotation. The ideal candidate is a detail-oriented specialist who understands that the safety of autonomous systems starts with the precision of the data used to train them.

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.
• Conduct rigorous reviews of annotated data to ensure accuracy, consistency, and "pixel-perfect" quality.
• Work closely with engineers to refine labeling guidelines and improve model performance.
• Strictly follow project instructions and meet established deadlines and production KPIs without compromising on quality.
• Commit to ongoing education to stay updated on the latest developments in data management, AI/ML goals, and new annotation platforms.

Requirements:

• Bachelor's degree; familiar with 3D scenes or possesses 3+ years of relevant data annotation experience.
• Proven experience in data annotation specifically within the Autonomous Driving sector.
• Hands-on experience working with various 3D/2D annotation tools.
• Strong knowledge of computer basics, data management techniques, and data analysis platforms.
• A proven track record of finding subtle anomalies and following specific guidelines without subjective interpretation.
• Ability to understand the relationship between datasets and attributes to aid in complex 3D categorization.
• Mental agility and the ability to pivot quickly between different project types.
• Be comfortable with working on-site 5 days a week.