Job description

Title: Data Annotator Location: San Francisco, CA 94158 Duration: 6 Months Pay Rate : $35-$40/hr 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. While the worker is scheduled for training, the Consultant must take full ownership of their responsibilities given the expected length of the assignment. Commit to ongoing education to stay updated on 0the latest developments in data management, AI/ML goals, and new annotation platforms. 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 labelling guidelines and improve model performance. Add additional notes here: • 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 labelling. • 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. About Us: Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU. IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at intelliprogroup.com . Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility.

Requirements

Must-haves

Title: Data Annotator
Location: San Francisco, CA 94158
Duration: 6 Months
Pay Rate : $35-$40/hr
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.
While the worker is scheduled for training, the Consultant must take full ownership of their responsibilities given the expected length of the assignment.
Commit to ongoing education to stay updated on 0the latest developments in data management, AI/ML goals, and new annotation platforms.
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 labelling guidelines and improve model performance.
Add additional notes here: • Essential Qualifications: Proven proficiency in LiDAR or Point Cloud systems, or alternatively, a relevant undergraduate degree demonstrating superior 3D spatial reasoning.
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.

Nice-to-haves

Preferred Experience: A minimum of three years of professional experience specific to Autonomous Vehicle data labelling.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiml

Platform: jazzhr
Effort: medium