06 / AI Quality

AI Trainer &Technical-Domain Evaluator

I apply deep technical-sales, product, requirements, writing, and QA experience to evaluate AI outputs for accuracy, logic, clarity, usefulness, and real-world business fit.

Structured evaluationHuman-in-the-loop reviewTechnical writingSales-domain expertise
How I create value
01

Evaluate with context

Review AI responses using practical experience across enterprise software, SaaS, geospatial, telecom, utilities, automation, and applied AI.

02

Improve communication

Identify gaps in accuracy, reasoning, structure, clarity, and audience fit, then provide precise revision guidance.

03

Build repeatable quality

Translate requirements and rubrics into consistent review workflows, documented decisions, and usable feedback.

Opportunity fit

Best aligned with AI training, response evaluation, domain-expert review, technical content, and human-in-the-loop quality roles.