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Appen
CrowdSource
Data Annotation Tech
Mercor
Mindrift
OneForma
Remotasks
Telus
Scale AINo subject matter listed
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Textwith a Master’s degree in Biological Sciences and several years of experience in data labeling and annotation for AI development. Since 2021, I’ve worked as a Data Annotator and Contributor at Appen, participating in large-scale projects involving linguistic analysis, sentiment evaluation, and multi-modal data annotation. My work supports the training of large language models (LLMs) and multi-modal AI systems, with a focus on accuracy, consistency, and contextual understanding. My scientific training has strengthened my analytical thinking and precision—skills I apply daily to ensure data quality and integrity. I’m proficient in a variety of annotation tools and workflows, capable of adapting to different data types and detailed project guidelines. Combining a research mindset with technical expertise, I contribute to building reliable, high-quality datasets that enhance AI performance across diverse domains.
Trained and evaluated large language models (LLMs) in English and Spanish, focusing on regional dialects, idiomatic expressions, and cultural nuances.
Linguistic annotation, sentiment analysis, and content classification in machine learning projects.
Master's, Neurosciences
Master Thesis
Medical Assistant
