David Chitayi

Performed LiDAR point-cloud annotation and segmentation for computer-vision and autonomous-systems datasets. Labeled objects with precise boundaries and classification using project-specific guidelines. Created and refined bounding box annotations across image and video datasets while maintaining taxonomy consistency. Completed related annotation tasks such as semantic segmentation and quality checks to support AI/ML training pipelines, ensuring high accuracy and productivity as taxonomies evolved.

Annotated and captioned video datasets for AI/ML workflows in line with project labeling guidelines. Reviewed video content for accurate object, action, event, and contextual labels with strong attention to detail. Flagged ambiguous frames and edge cases, applied the appropriate project rules, and improved consistency using reviewer feedback. Maintained productivity and quality targets across high-volume repetitive labeling work.

Supported generative AI training projects through response evaluation, data annotation, prompt-related tasks, and quality assessment. Assessed model-generated responses for relevance, accuracy, clarity, and instruction adherence using defined evaluation criteria. Delivered consistent judgments across datasets while adapting to updates in project guidelines and quality requirements.