Data Annotator

Data Annotator (Autonomous Vehicle / AI) Location: San Francisco, CA 94103 Schedule: Hybrid, Monday - Friday 8AM - 5PM Duration: 6 months (possible extension) Pay Rate: $32.00 - $39.00 per hour (depending on experience) Position Overview We are seeking a highly skilled Data Annotator to support the development of advanced autonomous driving systems. In this role, you will convert complex sensor data into high-quality training datasets used to power machine learning models. This position plays a critical role in ensuring the safety, accuracy, and performance of AI-driven solutions. The ideal candidate is detail-oriented, technically proficient in 2D and 3D annotation, and understands the importance of precision in data labeling for real-world applications. Key Responsibilities • Annotate 3D sensor 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 elements according to defined taxonomies and project guidelines • Label road features, infrastructure, and traffic elements to support the creation of high-definition (HD) maps • Perform detailed quality assurance reviews to ensure data accuracy, consistency, and completeness • Collaborate with engineering and data teams to refine annotation guidelines and improve model performance • Meet production targets and deadlines while maintaining high-quality standards • Stay current with industry advancements in data annotation tools, AI/ML workflows, and data management practices Basic Qualifications • Bachelor’s degree or equivalent experience • Minimum of 3 years of professional data annotation experience, including work with 3D datasets or autonomous driving applications • Hands-on experience with 2D and 3D annotation tools and platforms • Strong understanding of data management principles and basic data analysis concepts • Demonstrated ability to follow detailed instructions and identify subtle inconsistencies or anomalies in datasets • Strong spatial reasoning skills and ability to interpret complex 3D environments • Ability to manage multiple tasks and adapt to changing project requirements Preferred Qualifications • Direct experience in autonomous vehicle data annotation • Proficiency working with LiDAR or point cloud data systems • Advanced understanding of semantic segmentation and 3D object classification Additional Requirements • Ability to work on-site five days per week • Willingness to meet strict production benchmarks and quality metrics • Successful completion of a background check Impact of the Role This position contributes directly to the development of safe and reliable autonomous driving technologies. The quality and accuracy of annotated data are foundational to the performance of AI systems, making this role essential to advancing real-world applications.