LLM Evaluation through rubrics
Elaborate rubrics to evaluate LLM output for Both Spanish and English.
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Accepted by Outlier AI and Alligner AI for labeling tasks across audio, document, image, text and video datasets. My meticulous attention to detail ensures that every project checklist is tracked and completed, even on the most complex assignments, so quality is never compromised. Technically, I’m fluent in Google Workspace, Microsoft Office, Asana, and Slack, and I adapt quickly to any proprietary labeling platform your team uses. Whether I’m translating dense technical specifications into straightforward terms or facilitating cross-functional collaboration, my strong verbal and written communication keeps everyone aligned. As a native Spanish speaker with advanced English proficiency, I bring deep expertise in grammar, orthography, and regional language nuances, an asset when evaluating and refining LLM outputs. Additionally, my background in mechatronics gives me a solid grasp of systems and signal flows, so I can approach audio, video data with an engineer’s precision and understanding.
Elaborate rubrics to evaluate LLM output for Both Spanish and English.
Bachelor of Science, Mechatronics Engineering
Certificate, UX Design
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