Martin User
@martinuser19
Image, video, and LiDAR Data Annotation Specialist at Remotasks, labeling 50,000+ images for AI training datasets.
United StatesWhat I'm looking for
At Remotasks, I labeled 50,000+ images for object detection, classification, and segmentation tasks, meeting daily production targets for AI training datasets.
I maintained 95%+ accuracy on video annotation, including object tracking and action recognition. I also annotated sensitive data such as medical scans, drone imagery, and dashcam footage under project guidelines.
At Scale AI, I contributed polygon and bounding-box annotations for autonomous driving datasets, including LiDAR imagery and 360° video. I kept labels and object tracks consistent across multi-frame sequences and flagged ambiguous cases rather than guessing.
I review and correct annotations, respond to QA feedback, and have experience with semantic segmentation and keypoint labeling. I’m available immediately and open to full-time remote roles.
Experience
Work history, roles, and key accomplishments
Freelance Image & Video Annotator
Remotasks
Jan 2022 - Jan 2025 (3 years)
Labeled 50,000+ images across object detection, classification, and segmentation tasks for AI training datasets at daily production targets. Sustained 95%+ accuracy on video annotation, including object tracking and action recognition.
Delivered precise polygon and bounding-box annotations for autonomous driving datasets. Annotated LiDAR imagery and 360° video for object classification, maintaining label and object-track consistency across multi-frame video sequences.
Education
Degrees, certifications, and relevant coursework
University of Westminster
Bachelor of Science, Information Technology
2020 - 2023
Bachelor of Science in Information Technology with relevant coursework in computer vision, database management, digital image processing, and machine learning basics.
Coursera
Introduction to Machine Learning & Data Labeling, Machine Learning
Completed the Introduction to Machine Learning & Data Labeling course.
Computer Vision Fundamentals, Computer Vision
Completed the Computer Vision Fundamentals course from the Google ML Crash Course.
Appen
Quality Annotator Badge, Data Annotation
Earned the Appen Quality Annotator Badge for six consecutive months of top accuracy.
Remotasks
Remotasks Certified Annotator, Data Annotation
Certified as a Remotasks Annotator in Polygon and Bounding Box tracks.
Availability
Location
United StatesAuthorized to work in
Salary expectations
Social media
Skills
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