Job detail for Computer Vision Specialist
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Computer Vision Specialist
Micro1
Todayvia fourdayweek
Use AI to assess how you fit
Pay: $50-$90 per hour (USD).
Role Title: Computer Vision Specialist
Role Type: Contractor
Location: Remote
micro1 is engaging Computer Vision Specialists to collaborate on a dynamic project for a valued customer. 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.
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.