Data Annotation Specialist

As a Data Annotation Specialist for LiDAR 3D Process, your role will involve annotating and labeling 3D point cloud data acquired from LiDAR sensors to ensure the creation of high-quality datasets. These datasets are crucial for AI/ML model training in various fields such as autonomous driving, robotics, and 3D mapping applications. Key Responsibilities: - Interpret and comprehend project requirements related to LiDAR 3D annotation tasks. - Accurately label and categorize 3D point cloud data based on specified guidelines. - Segment various objects like vehicles, pedestrians, road signs, lanes, and environmental features within 3D datasets. - Utilize specialized LiDAR annotation tools to mark bounding boxes, cuboids, and perform semantic segmentation. - Maintain consistency and accuracy in annotations across all projects. - Review and validate labeled data to ensure quality and adherence to project standards. - Collaborate with the QA team to rectify errors and enhance annotation processes. - Meet productivity and quality targets within project timelines. Skills & Qualifications: - Demonstrated experience in data annotation, preferably in LiDAR 3D point cloud processing. - Familiarity with LiDAR annotation tools such as Labelbox, Supervisely, Scalabel, or similar platforms. - Understanding of 3D geometry, spatial awareness, and object classification. - Basic knowledge of autonomous driving datasets and labeling standards would be advantageous. - Strong attention to detail with the ability to precisely follow instructions. - Excellent communication and teamwork skills. Preferred Qualifications: - Proficiency in using 3D visualization software like Blender, CloudCompare, Open3D. - Knowledge of machine learning concepts and dataset preparation. - Previous involvement in autonomous vehicle projects. If you choose to join us, you will: - Engage in cutting-edge AI-driven healthcare innovations. - Contribute to advancements in medical research and disease detection. - Collaborate within a work environment alongside healthcare and AI experts. Please note that the benefits include paid sick time, paid time off, and the work location is in person.,