Leonormaldona Mwei

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Freelancer Overview

I am a computational scientist and AI data specialist with a PhD focused on large-scale annotation quality frameworks for training and evaluating large language models. My experience spans enterprise LLM pipelines, academic research, and global annotation platforms, where I have led and executed high-volume data labeling, evaluation, and QA tasks across hundreds of thousands of samples. I specialize in designing robust annotation workflows, modeling evaluator reliability, developing error taxonomies, and implementing feedback-driven model optimization, particularly in NLP and conversational AI domains. Proficient in Python, annotation tools, and cloud collaboration platforms, I am skilled at building scalable, high-quality data pipelines and ensuring methodological rigor in human-in-the-loop AI systems. My work has directly contributed to improved model performance, safety, and reliability in production environments.

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Reviewed and evaluated AI-generated datasets in STEM domains to ensure accuracy, consistency, and alignment with project guidelines. Provided detailed feedback on model outputs, validated annotations, and helped improve training data quality for machine-learning models.

Reviewed and evaluated AI-generated datasets in STEM domains to ensure accuracy, consistency, and alignment with project guidelines. Provided detailed feedback on model outputs, validated annotations, and helped improve training data quality for machine-learning models.

2025 - 2025

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