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Video Annotation Specialist (Remote)
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Video Annotation Specialist (Remote)
Video Annotation Specialist (Remote)
Role: Video Annotation Specialist (Contract) Location: Remote (Work from Anywhere) Payout: $65–$80/hour
About the Role
We are hiring for one of our clients, seeking a Video Annotation Specialist to work on a contract basis. The role involves annotating video content to improve machine learning models for 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
- 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 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
- Similar platforms
- Ability to exercise attention to detail and follow complex annotation guidelines accurately
- Familiarity with:
- Machine learning concepts
- Data labeling best practices
- Strong time management skills to meet project deadlines and deliver high-quality outputs
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About the Opportunity
This role offers a unique opportunity to work with a global leader in Technology, Information, and Internet (Tech/II) industries, contributing to the development of cutting-edge AI models.
The project involves:
- Annotating video datasets
- Enhancing real-world applications such as:
- Autonomous systems
- Surveillance technologies
Commitment to Equal Opportunity
We hire based on skills and expertise. All qualified candidates are welcome regardless of:
- Background
- Experience
- Prior employment history
Applications are reviewed solely on:
- Demonstrated technical ability
- Qualifications
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