AI Trainer
Provided detailed human feedback and annotations to train and improve Large Language Models, evaluating outputs for coherence, factual accuracy, logical consistency, safety, bias, and alignment.
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I am a detail-oriented AI Trainer and data annotation specialist with over 5 years of experience refining Large Language Models (LLMs) and delivering high-quality human feedback. My expertise includes data labeling, prompt engineering, response evaluation, RLHF-style preference ranking, error correction, and quality assurance to ensure model accuracy, coherence, and alignment with user intent. I have a strong background in identifying and addressing issues like bias, safety, and factual inconsistencies, consistently achieving high first-pass accuracy and user satisfaction. My technical support experience has further honed my troubleshooting and analytical skills, making me adept at diagnosing and resolving model weaknesses. I am passionate about contributing to advanced generative AI development and thrive in remote, collaborative environments.
Provided detailed human feedback and annotations to train and improve Large Language Models, evaluating outputs for coherence, factual accuracy, logical consistency, safety, bias, and alignment.
Bachelor of Engineering, Computer Systems Engineering
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