Computer Vision Specialist

Responsibilities

• Review and analyze video footage captured from robotic systems to identify key visual features, patterns, and anomalies.
• Precisely annotate video content by labeling and categorizing objects, movements, and events.
• Provide detailed feedback to improve the quality and consistency of video-based datasets for machine learning applications.
• Collaborate with AI development teams to refine annotation protocols and contribute computer vision domain insights.
• Document observations and maintain accurate records of annotation processes, findings, and outcomes.
• Participate in periodic quality reviews to verify annotation accuracy and resolve ambiguities or edge cases.
• Identify potential improvements to video capture and annotation strategies based on observed data patterns.

Skills

Requirements

• Proven expertise in computer vision concepts and methodologies, with hands-on experience in video analysis or annotation tasks.
• Familiarity with tools and platforms used for video labeling, annotation, or machine learning dataset preparation.
• Excellent written and verbal communication skills with the ability to document findings and articulate technical insights.
• Strong attention to detail and commitment to producing accurate and 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 and contribute to evolving project requirements.

Benefits

• Remote contractor opportunity.
• Compensation of $50–$90 per hour.
• Opportunity to apply computer vision expertise to next-generation AI training.
• Project work involving robotic video analysis and machine learning datasets.
• No prior AI experience required.