University of Auckland
Bachelors in Science, Computer Science
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While I haven't worked under the official title of a data labeler, I practically train AI every day in my current job and personal projects. I have spent a lot of time learning how to write clear, complex prompts to get exactly what I need out of Large Language Models. Because of this, I'm highly experienced in evaluating AI outputs, I know exactly how to spot when a model is hallucinating, losing logic, or missing the right tone, and I know how to step-by-step correct it until the result is flawless. What sets me apart is that I already think like an AI trainer. I understand how these models interpret constraints and context, and I'm used to holding them to a very high, professional standard. I bring strong analytical skills and a genuine passion for pushing AI to be as accurate and reliable as possible, which fits perfectly with the mindset needed for quality data annotation and feedback.
Bachelors in Science, Computer Science
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