I have data labeling and AI training experience
I have data labeling and AI training experience
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I have 1 year of professional experience in AI data annotation with Mercor AI and Atlas, covering end-to-end data labeling workflows to improve large language model performance. My work spans text classification, preference ranking, response evaluation, and content quality checks. I consistently maintained a high quality score by adhering strictly to complex guidelines, spotting subtle reasoning errors, and delivering accurate, bias-free annotations at scale. Due to strong performance and reliability, I was promoted to reviewer where I audit peer submissions, calibrate labeling standards, and handle complex edge-case tasks that require nuanced judgment. I’m experienced in resolving guideline ambiguity, providing constructive feedback, and ensuring dataset consistency for safety-critical AI training. I thrive on detailed instructions, high-throughput environments, and tasks where precision directly impacts model behavior.
I have data labeling and AI training experience
Degree not specified
Experience Research/Lab Projects | University Lab | 2014-2019 - Analyzed 200+ microbial samples with 99% protocol adhere