Job Description

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.