Data Annotation Specialist

Job Description

We are seeking a highly detail-oriented and technically adept 3D Data Annotation Specialist to join our growing team. This role is critical in shaping high-quality datasets for training cutting-edge AI and computer vision models, particularly in domains such as LiDAR data processing, and 3D object detection. Roles and Responsibilities Qualifications: B.Tech in Computer Science, IT, or related field preferred (others may also apply strong analytical and software learning abilities required). Strong analytical and reasoning skills, with attention to spatial geometry and object relationships in 3D space. Basic understanding of 3D data formats (e.g., .LAS, .LAZ, .PLY) and visualization tools. Ability to work independently while maintaining high-quality standards. Excellent communication skills and the ability to collaborate in a fast-paced environment. Attention to detail and ability to work with precision in visual/manual tasks. Good understanding of basic geometry, coordinate systems, and file handling. Preferred Qualifications: Prior experience in 3D data annotation or LiDAR data analysis. Exposure to computer vision workflows. Comfortable working with large datasets and remote sensing data Key Responsibilities: Annotate 3D point cloud data with precision using specialized tools [ Training would be provided] Label and segment objects within LiDAR data, aerial scans, or 3D models. Follow annotation guidelines while applying logical and spatial reasoning to 3D environments. Collaborate with ML engineers and data scientists to ensure annotation accuracy and consistency. Provide feedback to improve annotation tools and workflow automation. Participate in quality control reviews and conduct re-annotation as needed