Data Annotation
Ensuring all images are properly addressed creating bounding boxes round and completing tasks as required by project standards.
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I am a detail-oriented AI data contributor with hands-on experience in LLM data annotation, conversational analysis, and instruction-following evaluation. My work involves designing and evaluating multi-turn dialogues, adopting diverse user personas, and stress-testing AI outputs for consistency, emotional realism, and logical coherence. I excel at identifying failure modes, applying structured annotation guidelines, and providing clear, actionable feedback to support model improvement. With near-native English fluency and a background in systems evaluation and research methods, I bring a strong analytical mindset and human-centered approach to every project. I am particularly skilled at balancing adversarial prompt design with conversational realism, ensuring robust and reliable AI training data.
Ensuring all images are properly addressed creating bounding boxes round and completing tasks as required by project standards.
Master of Science, Engineering Management
BEng, Bio Resources Engineering
AI Trainer for Aether