3d/2d Lidar Annotation
In my Remotasks work, I contributed to a range of AI training data initiatives involving image, text, and audio annotation. The scope of projects included bounding box and polygon annotation, semantic segmentation, content categorization, entity and intent tagging, transcription, and evaluation of model-generated outputs. Tasks were performed according to detailed client guidelines, often requiring careful interpretation of edge cases and consistent application of labeling taxonomies across large datasets that ranged from thousands to hundreds of thousands of items. Quality was a top priority throughout every project. I adhered to strict accuracy benchmarks, conducted regular self-reviews, and incorporated feedback from audits and quality assurance teams to maintain high inter-annotator agreement. I ensured compliance with turnaround times while prioritizing precision and guideline alignment. By actively flagging ambiguities and participating in calibration updates.