Multimodal AI Contributor | Data Annotation, Response Evaluation & Quality Assurance
I’m a multimodal AI contributor with hands-on experience annotating and evaluating text, images, audio, and video for AI training. I review AI-generated responses for factual accuracy, coherence, and guideline compliance, and perform quality assurance checks to identify inconsistencies and edge cases. In my work with Handshake AI, I’ve maintained annotation accuracy above 95% against project quality benchmarks. I use Labelbox, Scale AI, CVAT, and Roboflow for tasks including bounding box annotation, image segmentation, text categorization, audio transcription, timing alignment, and speaker labeling. My experience also includes content moderation and bilingual English/Swahili dataset review. I’m comfortable working independently in remote environments, adapting to evolving guidelines, and meeting tight deadlines without sacrificing accuracy. I hold a master’s degree in artificial intelligence and have completed IBM AI Engineering and NVIDIA Deep Learning Institute training. I’m available for full-time remote, contract-based AI training and annotation work.
AI Training & Data Annotation Contractor at Handshake AI (Present) Data Annotation & Content Evaluation Contributor at Data Annotations.tech