AI Trainer & Data Annotator | Prompt Engineer | Multimodal QA Specialist
I'm an AI Training Specialist and Multimodal Data Annotator with 5+ years of experience delivering high-quality outputs across annotation, evaluation, prompt generation, and quality assurance for machine learning systems. At Hive Micro, I annotated large-scale audio, video, and image datasets using industry-standard platforms including Labelbox, CVAT, SageMaker, and SuperAnnotate — consistently hitting volume targets without sacrificing accuracy. At Pareto AI, I wrote and rated prompts for LLM pipelines, evaluated AI-generated outputs against structured rubrics, and contributed directly to RLHF workflows. At Ipsos Kenya, I led QA for multinational research projects involving complex audio and text data, building a track record of catching errors others miss. I specialize in structured data annotation, model output evaluation, prompt engineering, and dataset validation — across text, image, video, and audio. Beyond AI, I bring strong data management experience from GeoPoll and Ipsos, where I handled end-to-end research datasets for large-scale multinational studies. I'm looking for remote contract or part-time roles where precision, consistency, and attention to detail are valued. I've been working fully remotely since 2021, thrive in async-first environments, communicate proactively, and integrate feedback immediately. Available for immediate start and able to commit 40+ hours per week.
Member Since
May 17, 2026
Last Active
a month ago