Video Annotation Specialist (Remote)

• Role: Video Annotation Specialist (Remote)
• Location: Remote (Work from Anywhere)
• Job Type: Contract
• Payout: $65 - $80/hour

Role Overview:

We are hiring for one of our clients, seeking a Video Annotation Expert to work on a contract basis. The role involves annotating video content to improve machine learning models for computer vision applications. You will work 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.

Required 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.

More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI models. The project involves annotating video datasets to enhance real-world applications such as autonomous systems and surveillance technologies.

Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.

Apply Now!