Mariam Jamiu (Mimi)

AI Quality Analyst | AI Trainer | LLM Evaluation | AI Response & Data Evaluation | Prompt & Relevance Evaluation | Human-in-the-Loop AI

I work at the intersection of AI, human evaluation, and quality. My experience spans AI training and evaluation, data labeling, prompt and response assessment, model output review, and human-in-the-loop workflows. I’ve worked on projects where the goal is not just to determine whether an AI response is correct, but to look at things like relevance, accuracy, instruction-following, clarity, consistency, and overall quality. What I enjoy most about this work is the combination of critical thinking and structure. I’m comfortable working with detailed guidelines, identifying ambiguity, applying evaluation criteria consistently, and turning observations into useful feedback that can improve AI systems. My background in English, finance, research, and trading has also shaped how I approach problems. I naturally look for patterns, question assumptions, work with evidence, and pay attention to the details that can easily be missed. I’m particularly interested in where AI quality and AI operations meet — including evaluation workflows, training operations, quality assurance, contributor support, calibration, and improving the systems that enable distributed AI teams to do their work effectively. I’m currently building deeper experience in the AI ecosystem and looking for opportunities where I can contribute to better models, better evaluation processes, and better human-AI workflows. Areas I work in: AI Training • LLM Evaluation • AI Quality • Prompt & Response Evaluation • Data Quality • Data Labeling • Human-in-the-Loop AI • AI Operations