Cheikh Anta Diop
Higher School, Applied Cognitive Neuropsychology
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I have over three years of experience in AI training data and data labeling, specializing in Reinforcement Learning from Human Feedback (RLHF) and Large Language Model (LLM) evaluation. I have collaborated with global AI companies to assess and refine AI-generated responses, ensuring high-quality, coherent, and contextually accurate outputs. My expertise includes comparative ranking, annotation, prompt engineering, and bias detection, contributing to the continuous improvement of machine learning models. Beyond LLM evaluation, I have extensive experience in natural language processing (NLP) data labeling, particularly in sentiment analysis, named entity recognition (NER), and intent classification. My multilingual proficiency in French and English allows me to work on diverse datasets, enhancing AI applications for various industries, including customer service, digital marketing, and conversational AI. Additionally, I contributed to a Safety & Alignment Project focused on improving the ethical and responsible deployment of AI. This involved identifying and mitigating harmful biases, detecting inappropriate content, and ensuring AI-generated responses align with ethical guidelines. My work helped enhance the safety mechanisms of AI systems, making them more reliable and trustworthy for diverse users.
Ibrahima S. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Higher School, Applied Cognitive Neuropsychology
Senior Trainer (15+ years of experience) & Expert in RLHF Annotation and Evaluation