Independent Data Annotator (Lidar data annotation and QA)
Other
Served as an Independent Data Annotator focusing on preparing Lidar outputs for AI training models used in autonomous systems. Applied structured evaluation guidelines to ensure consistency, accuracy, and actionable feedback for model improvement. Collaborated with a data labeling workflow to verify labeled objects and support reliable reasoning performance. • Annotated Lidar data outputs for high-quality reasoning and performance. • Collaborated on Atlas capture to process and verify labeled data objects. • Delivered consistent feedback using structured evaluation guidelines. • Supported AI model improvements through quality-focused annotation.
2025 - Present