LLM Image Recognition
Evaluating LLM' s capacity to recognize specific objects on images
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I am an experienced AI training and data labeling specialist with a multidisciplinary background in biology, medicine, and scientific communication. Over the past year, I have collaborated with DataAnnotation Tech and Outlier on projects involving prompt–response evaluation, semantic similarity, classification, and safety review. My work emphasizes accuracy, guideline compliance, and nuanced understanding of complex content, particularly in life sciences, where I apply my academic training in microbiology, genetics, and physiology. In addition to domain expertise, I bring strong skills in multilingual data annotation (English/French), LLM evaluation, and content refinement, ensuring that AI systems are both factually reliable and contextually appropriate. I have also demonstrated the ability to synthesize peer-reviewed research into accessible language through published works, showcasing my strength in bridging advanced scientific knowledge with practical communication. This combination of scientific rigor, linguistic precision, and data labeling expertise allows me to deliver consistently high-quality contributions to AI model training and evaluation.
Evaluating LLM' s capacity to recognize specific objects on images
Quality evaluation of LLM's generation of stories in both French and English
Evaluation of LLM responses to biology related questions
Evaluating LLM responses to queries about map coordinates.
Bachelor in Microbiology, Microbiology - Immunology
Owner/Manager of the Elmvale Acres Family Medical Center