Universität Stuttgart
Master, Empirical Political And Social Research
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I have hands-on experience in Reinforcement Learning from Human Feedback (RLHF) and Supervised Fine-Tuning (SFT) for both text and code data. My work has included labeling, curating, and refining datasets to train large language models, with a strong focus on ensuring high-quality, contextually relevant, and accurate outputs. I’ve worked extensively with programming languages such as Python and C/C++, contributing to model alignment and performance in code generation and natural language tasks. My attention to detail, familiarity with machine learning workflows, and ability to evaluate and improve AI outputs have equipped me to play a key role in training data pipelines. I bring a thoughtful, user-first perspective to data annotation and model feedback, ensuring that training datasets reflect realistic, useful, and high-integrity interactions.
Jann M. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Master, Empirical Political And Social Research
Bachelor, Political Science And Sociology
IT Specialist BI/Data
Pricing Analyst