Paul Kuria
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About
A detail-oriented Data Specialist with native Kikuyu and Swahili fluency and advanced English proficiency (C2), passionate about improving AI-generated content for East African users. With a strong foundation in Information Technology and hands-on experience in data annotation, evaluation, and quality assurance, I am eager to support the development of safe, accurate, and culturally aware Swahili AI models. I thrive in flexible, remote-first environments and value consistent, high-quality work over rigid schedules.
Experience
Data Evaluation Analyst - Appen - Remote
(2025-03 - 2026-04)
- Evaluated AI-generated English responses for relevance, factual accuracy, tone, and safety, applying the same rigorous judgment needed for Swahili content evaluation.
- Performed complex pairwise comparisons and ranking tasks to improve reinforcement learning feedback loops.
- Conducted quality audits on annotated datasets before final model ingestion, ensuring consistency and guideline adherence.
- Maintained high evaluator reliability scores while balancing a fully flexible, performance-based workload.
Senior Data Annotation Analyst - Cloud Factory - Remote
(2024-06 - 2025-02)
- Executed high-volume labeling tasks including contextual tagging, sentiment classification, and intent recognition for supervised learning models.
- Completed multimodal annotation assignments across image and audio datasets, demonstrating adaptability to different content types.
- Applied structured rubrics consistently while adapting to frequent guideline updates – a key skill for evolving Swahili AI projects.
- Collaborated with QA reviewers to resolve annotation discrepancies and improve dataset precision.
AI Dataset Contributor - Click worker - Remote
(2023-05 - 2024-05)
- Collected and preprocessed English-language datasets for early-stage machine learning, with attention to data diversity and cleanliness.
- Performed counting, categorization, and labeling tasks requiring sustained analytical focus.
- Identified ambiguous data entries and submitted structured feedback to improve annotation clarity.
- Followed strict confidentiality and responsible AI data handling standards.
Education
Master of Science - Information Technology - University of Nairobi (2023 - 2025)
Bachelor of Science - Computer Information Systems - University of Nairobi (2017 - 2022)
