Ajevi Clarence

Detail-oriented AI Language Quality Specialist and Data Annotation Professional with over 8 years of experience in AI training, multilingual data review, linguistic quality evaluation, and quality assurance. Strong background in linguistics, grammar analysis, prompt-response evaluation, and AI-generated content review. Experienced in reviewing and improving Swahili and English language outputs for grammatical accuracy, cultural relevance, fluency, and consistency.

Skilled in preference ranking, prompt writing, response rewriting, and structured language evaluation tasks for conversational AI systems.

AI Data Annotation (LLM/NLP) Quality Reviewer at Microsoft (2025-01 – Present)

• Reviewed and refined AI-generated text outputs for linguistic accuracy, grammar, fluency, and contextual relevance.
• Evaluated multilingual datasets including English, Swahili, and Sheng language content.
• Identified inconsistencies and language quality issues across conversational AI datasets.
• Rewrote low-quality responses to improve clarity, tone, and natural language flow.
• Supported continuous improvement of AI language model performance through quality feedback and evaluation.

Machine Learning / Quality Analyst at Sama AI (2023-01 – 2026-01)

• Assessed and validated annotation quality for AI training datasets.
• Performed language review and evaluation tasks to ensure grammatical correctness and guideline compliance.
• Reviewed structured language tasks, including preference ranking, text improvement, and response validation.
• Delivered detailed quality feedback and recommendations to improve annotation consistency.
• Collaborated with distributed global teams on multilingual AI projects.

Machine Learning / Quality Analyst at CloudFactory Limited (2019-01 – 2024-01)

• Labeled, reviewed, and analyzed multilingual datasets for machine learning projects.
• Conducted quality checks on text-based annotation tasks to maintain accuracy and consistency.
• Supported conversational AI workflows through prompt-response review and data validation.
• Identified trends and recurring quality issues affecting dataset performance.
• Worked independently in a remote environment while meeting strict project deadlines.

IT Support and Systems Assistant at MercyCorps

• Provided technical support for hardware, software, and network-related issues.
• Managed system troubleshooting, data backup, and workflow support tasks.
• Assisted teams with digital tools and process improvement.

Bachelor of Arts in Linguistics, Media and Communication – Moi University Kenya (2017)