AI Red-Teamer
I worked on several Red-Teaming data annotation projects to help the models to reinforce their own safety policies. My tasks consist of evaluating the responses generated by LLM and categorize them as violative or non-violative.
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I am an experienced AI data specialist with a strong background in data annotation, labeling, and quality management for large-scale artificial intelligence projects. My work as a Quality Team Lead at Scale AI/Outlier involved overseeing AI safety and red-teaming initiatives, managing contributors, conducting quality audits, and ensuring the successful delivery of diverse AI tasks such as data entry, writing, ratings, translations, and testing. I have hands-on experience evaluating and moderating content for platforms like TikTok, participating in calibration meetings, and performing audits to maintain high data standards. My technical skills include prompt engineering, web development (HTML, CSS, PHP, JS), Linux system administration, and AWS server management. I am fluent in both French and English, and I bring a rigorous, organized, and collaborative approach to every project, with a passion for supporting AI training data workflows across various domains.
I worked on several Red-Teaming data annotation projects to help the models to reinforce their own safety policies. My tasks consist of evaluating the responses generated by LLM and categorize them as violative or non-violative.
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Bachelor of Science, Computer Science
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