i have data labelling experience with Atlas and Ai training experience with micro1
i have data labelling experience with Atlas and Ai training experience with micro1
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I spend my time bridging the gap between raw data and smart AI behavior. Over the years, working with teams like micro1, Nexus Digital Solutions, and Atlas Capture, I’ve specialized in training and refining frontier Large Language Models (LLMs) through hands-on alignment, Supervised Fine-Tuning (SFT), and Reinforcement Learning from Human Feedback (RLHF). Instead of just running basic labels, I dig into the logic engineering complex, constraint-based prompts to test edge cases, auditing AI outputs for factual accuracy, and setting up strict guardrails to keep models safe and reliable. On the technical side, I build the actual data pipelines using Python and SQL to clean and validate high-volume datasets before they ever hit the training phase. I’ve also designed evaluation frameworks and annotation rubrics that cut labeling errors by 20%, ensuring that the data feeding the models is high-fidelity from the start. By tracking performance trends and edge cases on interactive Power BI dashboards, I make it easy for teams to see exactly where a model is hallucinating and how to fix it. At the end of the day, my goal is simple: making next-generation AI systems sharper, safer, and genuinely useful.
i have data labelling experience with Atlas and Ai training experience with micro1
Degree not specified
AI Training Expert | micro1 Remote | June 2026 – Present Model Optimization: Evaluate and train frontier, next-generati