Canterbury Christ Church University
Msc in Cyber security , Cyber security Technology
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AI Data Annotator | LLM Training, Fraud Detection & Healthcare Data-I data annotator with experience in LLM training, prompt engineering, and RLHF. Skilled in evaluating and improving AI outputs for accuracy, safety, and quality. Experienced in fraud detection and anomaly detection using machine learning, including real-time transaction analysis. Strong background in Python, NLP, and data annotation across healthcare and financial datasets.
2024 Dec-2025 May AI Trainer Outlier AI / Freelance, Remote • Created and refined high-quality prompts and responses used to train and evaluate large language models (LLMs) across diverse domains including technology, science, and general knowledge. • Evaluated and ranked AI-generated responses based on factual accuracy, coherence, tone, safety, and adherence to project guidelines. • Performed detailed feedback and annotation tasks to improve model outputs using Reinforcement Learning from Human Feedback (RLHF). • Conducted fact-checking and research to ensure responses were accurate, reliable, and aligned with verified information sources. • Identified model weaknesses, hallucinations, biases, and logical inconsistencies by acting as an adversarial user during testing tasks. • Applied complex annotation guidelines and evaluation frameworks to maintain high-quality AI training datasets. • Contributed to improving AI performance in coding, reasoning, writing, and conversational tasks.
David M. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Msc in Cyber security , Cyber security Technology
Computer science , Information Technology
AI training
Researcher Apprenticeship