Paul Kuria

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.

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.

Master of Science - Information Technology - University of Nairobi (2023 - 2025)

Bachelor of Science - Computer Information Systems - University of Nairobi (2017 - 2022)