AI Operations & Quality Analyst
Systems-literate (CompTIA Network+/Security+) · Applied Python
Lagos, Nigeria (UTC+1)

I work on the operational and quality side of AI systems, focusing on data preparation, output review, and clear documentation in guideline-driven workflows.

My background combines communication, systems literacy, and practical Python scripting. I use simple, explainable tools to support AI annotation and quality processes, and I document common output issues using consistent, human-readable criteria.

• Prepare and clean text data for AI annotation workflows
• Apply basic, deterministic quality checks before annotation
• Review AI outputs for factual accuracy, attribution, and appropriate certainty
• Document quality issues clearly to support consistent decision-making

Python scripts for data preparation and quality checks, plus documented AI output quality reviews.
Focused on practical AI operations tasks, not research or model development.

• Clarity before complexity
• Guidelines before intuition
• Documentation over claims
• Tools support judgment; they don’t replace it

LinkedIn: https://linkedin.com/in/reuben-empere-0173493a4
Email: rb.empere@gmail.com