My Path
I began working in this field in 2018 as a search engine evaluator, learning how relevance, intent, context, and quality are assessed behind the scenes. My degree in Sociology became a practical advantage: it trained me to understand human behavior, cultural nuance, and the social context behind the way people search, communicate, and use technology.
From there, I moved into a wider range of online AI projects, working with AI companies as a data annotator, transcriptionist, translator, and localization specialist. Working across languages, text, audio, and culturally sensitive datasets gave me a broad view of how human judgment helps machine-learning systems improve.
In recent years, I have focused extensively on LLM evaluation, AI writing evaluation, prompt design, and prompt optimization. I compare outputs, identify weaknesses, refine instructions, and help make AI responses more accurate, useful, and natural.