Anson User

I've supported AI training and evaluation programs at Turing and RWS Group, reviewing, labeling, and validating large-scale multilingual datasets used to improve machine learning models.

At Turing, I audited AI-generated outputs for accuracy, relevance, consistency, and guideline adherence. I evaluated text quality, search relevance, language accuracy, and content classification while tracking annotation workflows, escalating blocked tasks, and documenting quality findings.

At RWS Group, I performed multilingual annotation, content review, language evaluation, and AI response assessment across multiple project queues. I identified errors and guideline violations, documented edge cases, and created feedback notes to support calibration and continuous improvement.

I'm comfortable in fast-moving remote environments where requirements change quickly. I use structured problem-solving, quality metrics, reporting, and clear cross-functional communication to improve workflows and deliver accurate results.