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onyeabor Philip

@onyeaborphilip

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AI researcher specializing in machine learning, NLP, and trustworthy LLM evaluation.

Nigeria

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What I'm looking for

I’m looking for work where I can help build trustworthy AI systems through rigorous testing, human feedback, and data quality assurance—evaluating model outputs, improving prompt and dataset quality, and strengthening factual reliability.

I’m a Computer Science researcher with a strong background in artificial intelligence, machine learning, natural language processing, data analysis, and software engineering. I evaluate AI model outputs, write high-quality prompts, create datasets, verify factual accuracy, and improve large language model performance—always with a focus on rigorous testing, human feedback, and data quality assurance.

My work includes curating 3,500+ hours of voice data and developing annotation guidelines for tonal languages and French-influenced West African varieties, plus conducting bias audits on commercial voice assistants. I’ve also built evaluation benchmarks and datasets as a Graduate Research Assistant, and as an AI Data Specialist I’ve maintained annotation accuracy above 98% while verifying factual accuracy for dataset-quality work.

Experience

Work history, roles, and key accomplishments

Current

AI Data Specialist

Current

Freelance

Jan 2023 - Present (3 years 6 months)

Annotated text, image, and conversational datasets and evaluated AI-generated responses across multiple domains. Verified factual accuracy using reliable sources and maintained annotation accuracy above 98% under strict quality assurance guidelines.

Data Annotation Dataset Creation AI Response Evaluation Quality Assurance

Graduate Research Assistant

University of Washington

Mar 2023 - Mar 2024 (1 year)

Designed evaluation benchmarks for generative AI systems and collaborated with faculty on AI research publications. Conducted literature reviews and built datasets for supervised learning.

AI Evaluation Benchmarking Generative AI literature review Supervised Learning

Voice Data Specialist

Various Clients

Jun 2022 - Jun 2023 (1 year)

Recorded and curated 3,500+ hours of voice samples representing urban and rural accents across multiple African regions. Developed annotation guidelines for Yoruba, Igbo, and French-influenced West African varieties and conducted bias audits on commercial voice assistants for African users.

Data Curation Dataset Creation Quality Assurance Voice Data

Education

Degrees, certifications, and relevant coursework

University of Minnesota

Master of Science (M.S.), Computer Science

2025 -

Activities and societies: Relevant coursework: Deep Learning for Speech Processing, Computational Linguistics, Multimodal AI, Ethics in AI for Developing Regions. GPA: 4.2/5.0.

Pursuing a Master of Science in Computer Science, focusing on areas such as deep learning for speech processing and multimodal AI.

University of Lagos

Bachelor of Science, Computer Science

2017 - 2021

Grade: First Class Honours

Activities and societies: Dissertation: “Phonological Variations in West African English Accents and Implications for ASR Systems”.

Earned a Bachelor of Science in Computer Science, completing a dissertation on phonological variations in West African English accents and implications for ASR systems.