Open to opportunities

wambui maina

@wambuimaina1

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AI evaluation and data annotation specialist improving model reasoning and safety.

Kenya

Message

What I'm looking for

I seek roles focusing on AI model evaluation, dataset quality, and bias mitigation within collaborative teams that value rigorous standards, clear reporting, and measurable impact.

I am an AI evaluation and data annotation specialist with over five years of hands-on experience improving model reasoning, bias detection, and dataset quality. I combine a Computer Science background and a Linguistics diploma to analyze AI outputs for logical accuracy, ethical compliance, and edge-case behavior, delivering measurable improvements in model performance.

At Appen I reviewed 1,000+ AI responses daily with a 98%+ quality rating and drove a 20% improvement in response quality through structured error reporting; previously at Micro1 I conducted quantitative assessments, A/B testing, and multilingual dataset optimization to improve training efficiency. I am committed to rigorous annotation guideline development, clear analytical reporting, and scalable quality assurance practices that reduce systematic model errors.

Experience

Work history, roles, and key accomplishments

Current

Data Annotation Specialist

Current

Appen

Feb 2022 - Present (4 years 1 month)

Evaluated AI-generated responses for logical consistency and factual accuracy, reviewing 1,000+ responses daily with a 98%+ quality rating and improving AI response quality by 20% through structured error reporting.

AI Evaluation Data Annotation Quality Assurance Content Safety Reporting

AI Evaluation Associate

Micro1

Aug 2018 - Dec 2021 (3 years 4 months)

Conducted quantitative performance assessments and A/B testing of AI model outputs, identified bias patterns and contextual inconsistencies, and contributed to multilingual dataset optimizations that improved training efficiency.

A B Testing Reporting

Education

Degrees, certifications, and relevant coursework

Jomo Kenyatta University of Agriculture and Technology

Bachelor of Science, Computer Science

Grade: Second Class Upper

Bachelor of Science in Computer Science with Second Class Upper honors, coursework included Data Structures, Algorithms, Probability & Statistics, Machine Learning Foundations, Discrete Mathematics, and Database Systems.