University of Puerto Rico - Rio Piedras
PhD, Chemical Physics
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With extensive experience in AI training data operations, I have led initiatives that bridge advanced materials engineering and artificial intelligence. At Mercor Intelligence, I served as an AI Expert Trainer specializing in the engineering domain. My responsibilities included designing rigorous evaluation rubrics and drafting domain-specific prompts to assess state-of-the-art (SOTA) language models. This work required a nuanced grasp of engineering principles and the strategic application of prompt engineering to support comprehensive model benchmarking and knowledge fidelity testing. Additionally, in my role at Outlier AI, I contributed to prompt design, expert annotation, and reinforcement learning with human feedback (RLHF) in the domains of math and physical sciences. I developed high-difficulty prompts and detailed solutions, reviewed AI model outputs, and refined model knowledge through iterative feedback cycles. My technical expertise in Python, materials science, and GenAI toolchains enables me to architect training data systems that are both technically rigorous and aligned with real-world applications. This combination of domain fluency and AI acumen positions me to deliver scalable, high-quality datasets that drive measurable model improvement.
Samuel E. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
PhD, Chemical Physics
Master's of Science, Material Science and Engineering
Samuel E. hasn’t added any Work History to their OpenTrain profile yet.