I’m passionate about building and refining AI systems through hands-on data work and thoughtful evaluation. Over the past five years I’ve focused on AI model training, data annotation, hate-speech and toxicity detection, fact-checking, audio transcription, and image labeling. I’ve gained extensive experience optimizing Claude’s helpfulness, harmlessness, and honesty, and I enjoy every aspect of training AI—from direct chatbot interaction to research, fact-checking, and data collection for future input.
My strengths lie in multidisciplinary data work, rigorous evaluation, and collaborative problem solving. I thrive in roles that blend hands-on data curation with practical AI applications, especially in NDA-driven environments, research contexts, and hospitality-adjacent settings where clear, structured data matters for reliable AI systems.
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