We are hiring experienced Image, Video, and Text Annotators for a Contract-to-Hire (C2H) position. As a Data Annotator, you will play a key role in developing cutting-edge AI and machine learning systems by creating high-quality, accurately labeled datasets used in training models for computer vision applications like object detection, image classification, semantic segmentation, and more.
Responsibilities
- Perform image, video, and text annotation tasks with high accuracy and attention to detail.
- Annotate images using bounding boxes, polygons, masks, or key points to label objects or features.
- Label temporal data in videos, including object tracking, key frame identification, and action/event tagging.
- Work on 3D LiDAR data annotation for advanced perception use cases.
- Maintain high standards of data quality, consistency, and adherence to project-specific annotation guidelines.
- Report data quality issues and tool-related challenges in a timely manner to project leads.
- Collaborate with project managers and team members to resolve questions or inconsistencies in annotations.
- Communicate clearly and effectively to ensure alignment across team members.
Requirements
- 2+ years of experience in Computer Vision annotation (image and video).
- Hands-on experience with a range of annotation tools (e. g., CVAT, Labelbox, Supervisely, VGG, etc. ).
- Experience in temporal video annotation, object tracking, and event labeling.
- Familiarity with 3D point cloud/LiDAR annotation is a strong plus.
- Strong understanding of annotation guidelines and commitment to data accuracy.
- Excellent verbal and written communication skills.
- Ability to work from the office at the Marathahalli location.
This job was posted by Karthick Raja from iNetFrame Technologies.
