JobsтА║Computer Vision

ЁЯМН Computer Vision Specialist, Remote- Contract

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Posted3 Oct17 рджрд┐рди рдкрд╣рд▓реЗ, Himalayas рд╕реЗ
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Contract role
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Computer Vision SpecialistData AnnotatorAI TrainerVideo AnnotatorAnnotation SpecialistRemote Senior Computer Vision ScientistComputer Vision ML EngineerComputer Vision EngineerComputer Vision and Machine Learning Engineer
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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 тАФ 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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