Data Annotation Specialist

2 days ago


Panchkula, India Inxee Systems Private Limited Full time

Job Title: Data Annotation Specialist (2D & 3D) Experience: 0–1 Years Location: Gurgaon Employment Type: Full-time Job Summary: We are seeking an entry-level Data Annotation Specialist (2D & 3D) to support our AI and Computer Vision initiatives. The role focuses on creating high-quality labeled datasets using a variety of annotation techniques across both 2D (images, videos) and 3D (LiDAR, point clouds) data. Key Responsibilities: - Perform detailed annotations including bounding boxes, polygon/semantic/instance segmentation, keypoints, cuboids, and object tracking. - Work with 2D and 3D datasets such as images, videos, depth maps, LiDAR scans, and point clouds. - Use annotation tools including CVAT, LabelMe, Roboflow, Labelbox, Supervisely, and relevant 3D annotation platforms. - Maintain accuracy, consistency, and productivity as per project standards. - Review annotations for quality and correctness before submission. - Collaborate with engineering, QA, and data teams to refine annotation workflows. - Report annotation conflicts or unclear cases to improve guidelines and dataset integrity. Required Skills & Qualifications: - 0–1 years of experience in data annotation or related tasks. - Understanding of annotation techniques such as segmentation, bounding boxes, polygons, and keypoints. - Basic familiarity with 3D data formats including LiDAR or point clouds. - Experience with annotation tools including Roboflow and CVAT (or willingness to learn). - Strong attention to detail, ability to follow complex instructions, and good communication skills. - Basic awareness of computer vision concepts is an added advantage Nice-to-Have: - Exposure to AI/ML projects or computer vision datasets. - Experience with 3D annotation tools (e.G., Pointly, Segments.Ai). - Understanding of QA processes for annotated datasets. Education: - Bachelor’s degree or diploma in any field. Technical degrees are preferred but not mandatory. Why Join Us: - Opportunity to work directly with AI and Computer Vision teams. - Exposure to industry-standard annotation tools and workflows. - Growth pathways toward Data Operations, ML Ops, or Computer Vision roles.



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