Manzuma Danladi

I’m a Computer Engineering graduate and AI Training Specialist with hands-on experience in AI data annotation, model evaluation, and generative AI training. I’ve worked across Welocalize, Labelbox, and RWS—rating LLM outputs for accuracy, coherence, bias, and overall quality, then writing clear justifications that reviewers can follow.

I thrive on building better model behavior through prompt engineering, RLHF-style pairwise evaluation, and red teaming. I label audio/video with speaker segmentation and sound events, handle NER/sentiment/text classification, support OCR, and evaluate search results and ads for relevance and user intent alignment. I bring a trauma-informed youth work background too, which strengthens how I communicate, spot patterns, and stay consistent under pressure—especially in remote, guideline-driven work.