At Sama, I annotated and reviewed text, image, audio, video, and LiDAR data for AI and machine-learning projects. I handled 2D/3D labeling, segmentation, object tracking, and language tasks, following project guidelines and escalating unclear examples.
At Aventure, I supported LLM optimization through prompt experimentation, model-output evaluation, and preference ranking, with a focus on Kiswahili and English. At Code for Africa (iLAB), I collected, cleaned, annotated, and quality-checked multilingual datasets, using Python workflows to process 120,000+ records while maintaining approximately 98% quality.

