Data Annotator at Hugotech
As a Data Annotator at Hugotech, I achieved and maintained a 98% accuracy rate working with diverse datasets, including 3D point cloud alignment and object tracking for autonomous systems. I consistently exceeded daily volume targets in Multimodal Large Language Model (MLLM) tasks without compromising data integrity. My work contributed to the fine-tuning of Text-to-Image models by providing high-fidelity human feedback and managing complex spatial alignment tasks in 3D environments. • Aligned and tracked objects within 3D sensor data for AI model training. • Provided reinforcement learning human feedback (RLHF) for image generation models. • Supported model evaluation by maintaining high annotation standards and accuracy. • Ensured timely completion of labeling tasks for high-priority AI releases.