Data Annotation Specialist

Job Title: Data Annotation Specialist (2D & 3D)Experience: 0–1 YearsLocation: GurgaonEmployment Type: Full-timeJob 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 advantageNice-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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