AI Model Training and Evaluation with a Global AI Expert Network

(name redacted at client’s request)

Context

AI companies rely on experienced professionals to evaluate and improve their models before those models reach businesses and the public. The quality of their judgment shapes how accurately and responsibly the models perform.

What I Am Doing

I evaluate the outputs of large language models (LLMs) across a wide range of subject areas assessing for accuracy, reasoning, clarity and risk, and provide feedback that is used to train and improve the models.

I was selected as one of a small group chosen from several thousand candidates following a rigorous 20-hour assessment.

This work gives me a direct view of where AI models consistently fall short: answers that sound confident but are wrong, flawed reasoning, and missing context. It informs how I advise organizations on adopting AI responsibly, including where human oversight is essential, how teams should verify AI output, and why strong AI governance matters.

Outcome

Engagement in progress. Case study will be updated as the work evolves.