AfroMorph Studio

I’m an AI Data Contributor & Annotator with a background in engineering, focused on accuracy, consistency, and guideline adherence across text-, image-, and video-based tasks. In remote, distributed work, I evaluate and rate AI-generated responses for accuracy, relevance, and instruction-following using project-specific rubrics and QA standards.

I also strengthen model performance by structuring and writing high-quality prompts to stress-test capabilities and surface edge cases. I’m skilled in prompt evaluation, model output assessment, and human-in-the-loop workflows, with a quality-first approach to dataset consistency (including response rating and guideline compliance).

Before my AI data work, I completed an Engineering Intern role in Resource Analysis, organizing and monitoring inventory with Excel and supporting technical analysis during factory construction. Earlier, I conducted semiconductor research at UNN and led an Engineering Systems Design project, experiences that sharpened my attention to detail, data analysis, and clear technical communication.