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Video Annotation Specialist (Remote)
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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.
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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.
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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.
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