Ambrose Mwangangi

I’m an AI data annotation specialist based in Thika, Kenya, focused on egocentric video and fine-grained hand-action labeling. My work centers on accurately labeling hand–object interactions with clear temporal boundaries, timestamps, and consistent references to the relevant hand and object.

I also support broader multimodal annotation needs, including object tracking in video, image labeling (bounding boxes, segmentation, polygons, and keypoints), and text/audio tasks such as transcription and timestamping. I’m detail-oriented about following client guidelines, performing quality checks, escalating unclear cases, and delivering consistent, review-ready results for remote AI training projects.