Rachel-Ann H.

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Legal Services & Contract Review

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Legal Research & Document Analysis

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RLHF

Freelancer Overview

I don't have traditional data labeling experience, but I work with LLMs daily for research and to build apps. Because I’m constantly using AI to write code, debug, and pull information, I've basically spent the last year doing informal prompt engineering and output evaluation. I know firsthand how a slight shift in how you phrase a prompt changes the quality of the response, and I'm used to spotting hallucinations, broken code, or logical gaps in AI outputs. ​When you're building apps with AI, you have to be incredibly meticulous about testing and breaking down complex instructions so the model actually delivers what you need. That daily loop of prompting, reviewing, and tweaking has given me a really strong eye for data quality. I understand how these models think, what makes a response good or bad, and how to follow strict guidelines to get clean, reliable results.

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