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🌍 Computer Vision Specialist, Remote- Contract

RemoteRemoteContract$50–$90 /hrPosted 1 month agoHidden Gem · Himalayas

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Required skills

  • Computer Vision
  • AI systems
  • video footage
  • visual features
  • anomalies
  • annotation
  • labeling
  • categorization
  • machine learning
  • feedback

Nice to have

  • video analysis
  • dataset preparation
  • robotics
  • autonomous systems
  • remote collaboration

Role summary

This is a remote, contract role for a Computer Vision Specialist focused on training AI systems. The specialist will analyze and annotate video footage from robotic systems, providing feedback to improve machine learning datasets. Key responsibilities include precise annotation, collaboration with AI teams, documentation, and identifying improvements in data capture and annotation strategies. No prior AI experience is required, but domain knowledge is essential. Familiarity with computer vision concepts, video analysis, annotation tools, and robotics is preferred.

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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