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I am an experienced AI training freelancer specializing in data annotation, prompt engineering, and large language model evaluation. My work focuses on creating high-quality training datasets, identifying model weaknesses, and providing structured feedback to improve accuracy, safety, and reasoning. I have hands-on experience with NLP model training, reinforcement learning from human feedback (RLHF), and model safety and bias detection. I am detail-oriented and skilled at following complex guidelines, ensuring consistency and quality in every project. I am comfortable using tools like Label Studio, Scale AI-style platforms, and chat-based LLM interfaces, and I have contributed to projects aimed at improving instruction-following, conversational flow, and policy compliance in AI systems. My collaborative approach and strong technical documentation skills help drive continuous improvement in evolving AI environments.
David M. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
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