Video Annotation Specialist (Remote)

About the Role

This Video Annotation Specialist role involves working on a contract basis to annotate video content for improving machine learning models in computer vision applications.

You will collaborate closely with AI teams to ensure high-quality labeled data for training and evaluation.

Key Responsibilities

• Annotate video frames with bounding boxes, polygons, and semantic segmentation masks to identify objects, actions, and attributes.
• Ensure annotation accuracy and consistency by following detailed guidelines and quality control processes.
• Collaborate with AI engineers to refine annotation guidelines and improve dataset quality for model training.
• Verify and validate annotated data to meet project-specific requirements and performance metrics.
• Document annotation processes and report inconsistencies or challenges encountered during labeling.

Skills & Qualifications

• Experience in video annotation or image labeling for computer vision projects.
• Proficiency in annotation tools such as Labelbox, CVAT, or similar platforms.
• Attention to detail with the ability to follow complex annotation guidelines accurately.
• Familiarity with machine learning concepts and data labeling best practices.
• Strong time management skills to meet project deadlines and deliver high-quality outputs.
• Bachelor's degree in Computer Science, Engineering, or a related field.
• Basic knowledge of computer vision and machine learning fundamentals.

What You'll Learn

In this role, you will gain hands-on experience in video annotation and data labeling for computer vision projects.

You will learn to work with annotation tools and collaborate with AI engineers to refine annotation guidelines and improve dataset quality.

This role offers a unique opportunity to contribute to the development of cutting-edge AI models and enhance your skills in machine learning concepts and data labeling best practices.

Resume Tip

When applying for this role, make sure to highlight your experience in video annotation or image labeling for computer vision projects, as well as your proficiency in annotation tools such as Labelbox or CVAT.

Emphasize your attention to detail and ability to follow complex annotation guidelines accurately, as well as your strong time management skills to meet project deadlines.

Also, be sure to mention any relevant certifications or training programs you have completed in computer vision and machine learning fundamentals.