CVAT Annotation Intern

Duration: 6 months
Department: Data Annotation / Machine Learning / AI

Role Overview:
We are seeking a detail-oriented and motivated CVAT Annotation Intern to assist in the creation of high-quality label datasets using CVAT (Computer Vision Annotation Tool). This role is ideal for candidates interested in computer vision, AI/ML, and data labelling, and who are looking to gain hands-on experience in the annotation process critical for training machine learning models.

Key Responsibilities:

• Annotate construction site images and videos using the CVAT platform.
• Use bounding boxes, polygons, and segmentation tools to ensure precise annotations.
• Follow detailed annotation guidelines to maintain consistency and accuracy.
• Collaborate with the AI/ML team to improve dataset quality for computer vision model training.
• Conduct quality checks and corrections to ensure high-standard deliverables.

What You'll Gain:

• Practical experience with data annotation for real-world AI applications.
• Exposure to computer vision projects and workflows.
• Opportunity to work with experienced ML/AI professionals.
• A solid foundation for future roles in machine learning or data science.