Bryan R.

I’m an experienced AI data annotation and quality assurance specialist with a strong background in image, video, and 3D data labeling. Over the past years, implementing real-time QA systems, annotation guidelines, and efficiency workflows that ensure both speed and precision. Currently, I focus on AI-assisted annotation, dataset refinement, and human evaluation of generative AI outputs, helping companies improve their datasets and model reliability. Key strengths: ● Expert in polygon and segmentation tools for complex object labeling. ● Experienced in reviewing and correcting auto-labels generated by models such as SAM (Segment Anything) or Grounding DINO. ● Skilled in dataset QA, consistency checks, and data validation pipelines. ● Familiar with active learning and human-in-the-loop workflows. Tools & Platforms: ● Labelbox · CVAT · Dataloop · Roboflow · Supervisely · Scale AI · Diffgram Specialized Areas: ● Image & video segmentation ● 3D object annotation (PLY, LiDAR, textured scans) ● Dataset cleaning and bias review ● Human evaluation of AI-generated outputs (vision and text) What I offer: ● Reliable, detail-oriented annotation and validation services. ● Deep understanding of visual data workflows. ● Fast adaptation to client-specific tools and standards. ●Proven record of maintaining top QA metrics under production conditions. I’m passionate about improving the quality and trustworthiness of AI systems