AI Data Specialist · LiDAR & Video Annotation Expert · QA Professional · Robotics Training Data Contributor
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Professional first-person perspective video recording for AI and robotics training datasets. I use head-mounted camera setup with proper framing to capture household tasks and activities. All recordings meet technical specifications: 1080p resolution, 16:9 aspect ratio, 30fps, with both hands visible throughout. Experienced in proper categorization and quality standards for robotics training data.
Expert data annotation for AI training datasets. Specializing in LiDAR point cloud annotation and vehicle categorization for autonomous driving projects. Accurate labeling, object detection, and classification with attention to quality standards and project specifications.
Dedicated technology professional with over three years of remote experience across AI data annotation, software quality assurance, robotics training data collection, and live broadcast visual design. I have contributed to computer vision and robotics AI systems through egocentric video annotation at Atlas Capture, LiDAR point cloud review at Scale AI, and real-world household activity data capture at Micro1. My background in software quality assurance with Microsoft's UHRS platform has given me a strong foundation in precision, structured testing, and process adherence. Known for consistently high-quality output, the ability to work independently across disciplines, and strong written communication skills suited to international and cross-functional teams.