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Annotation Analyst (Remote)
Skills
2 months ago
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Important information
Contract type:
Freelance / Contract
Location:
Panara, Madhya Pradesh 480551, India
Work mode:
Remote
Published on:
3 September 2026
What they need
- Role: Annotation Analyst (Remote)
- Location: Remote (Work from Anywhere)
- Job Type: Contract
- Payout: $15 - $20/hour
Role Overview:
We are hiring for one of our clients, seeking a Video Annotation Expert to work on a contract basis. This role involves accurately annotating video content to train and improve machine learning models for computer vision applications. The expert will contribute to projects that enhance automated video analysis systems in a global technology-driven environment.
Key Responsibilities:
Annotate video frames with precise labels, bounding boxes, or segmentation masks to support training datasets.
Review and validate annotated data for consistency, accuracy, and adherence to project guidelines.
Collaborate with cross-functional teams to refine annotation guidelines and improve data quality standards.
Maintain detailed documentation of annotation processes, challenges, and resolutions for future reference.
Meet daily or weekly annotation targets while ensuring output meets predefined quality thresholds.
Required Skills & Qualifications:
Experience with video annotation tools such as CVAT, Labelbox, or similar platforms is required.
Proficiency in using annotation software for tasks including object detection, classification, or segmentation is required.
Strong attention to detail and ability to follow structured annotation guidelines accurately is required.
Basic understanding of machine learning concepts and data labeling best practices is preferred.
Ability to work independently in a remote setting with minimal supervision is required.
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 AI-driven video analysis systems. The project focuses on improving model performance through high-quality annotated datasets, with potential impact on real-world applications.
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!
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