LLM Evaluation
Evaluate LLM responses and users prompts. Focusing on accuracy, safety and rating accordingly specific guidelines.
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I am an experienced AI data evaluator with a strong background in data labeling, annotation, and training data quality for machine learning applications. My work includes evaluating LLM prompts for accuracy and safety, assessing and annotating social media content, and improving search engine algorithms through detailed analysis and feedback. I have contributed to projects focused on NLP, ad evaluation, content moderation, and search relevance, leveraging my skills in English and Portuguese. My academic background in Artificial Intelligence, combined with hands-on experience in SEO and LLMs, enables me to deliver precise and reliable data for AI model training and evaluation. I am comfortable working remotely and thrive in dynamic, project-based environments.
Evaluate LLM responses and users prompts. Focusing on accuracy, safety and rating accordingly specific guidelines.
Improve search engine algorithm and users experience with internet pages.
Judge whether the Query indicates the user's intention to ask for help with regard to a specific topic and judge whether in the context of what the user previously viewed it is likely their intention is to ask for help with regard to a specific topic.
Bachelor of Science, Artificial Intelligence
English Teacher