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🌍 Computer Vision Specialist, Remote- Contract

Xperteez Technology · Remote – worldwide

Salary
Not stated
Posted
2d ago
Source
Himalayas

Job description

Role Title: Computer Vision Specialist

Role Type: Contract

Location: Remote

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Required Skills:

• Computer Vision

Scope of Work:

• Review and analyze video footage captured from robotic systems to identify key visual features and anomalies.

• Annotate video content with precision, ensuring accurate labeling and categorization of objects, movements, and events.

• Provide detailed feedback to enhance the quality and consistency of video-based datasets for machine learning applications.

• Collaborate with AI development teams to refine annotation protocols and contribute domain insights.

• Document observations and maintain meticulous records of annotation processes and outcomes.

• Participate in periodic reviews to ensure annotation accuracy and address ambiguities or edge cases.

• Identify potential improvements in video capture or annotation strategies based on observed data patterns.

Preferred Qualifications:

• Proven expertise in computer vision concepts and methodologies, with hands-on experience in video analysis or annotation tasks.

• Familiarity with tools and platforms commonly used for video labeling, annotation, or dataset preparation.

• Excellent written and verbal communication skills, with a strong ability to document findings and articulate technical insights.

• Attention to detail and commitment to producing high-quality, consistent annotations.

• Ability to work independently and manage deliverables within a remote, collaborative project environment.

• Experience with robotics, autonomous systems, or related domains is a plus.

• Adaptability and willingness to learn new annotation standards or contribute to evolving project needs.

Originally posted on Himalayas

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