Data Labeling and RLHF Contributor
As a law graduate engaging in data labeling and RLHF, I contributed to fine-tuning AI models for nuanced language recognition. My background enabled me to identify subtle distinctions and reduce bias in text data labeling workflows. This work supported AI systems in achieving higher standards of ethical reasoning and precision. • Labeled and annotated text data for training language models • Focused on fairness, bias reduction, and legal context clarity • Performed reinforcement learning from human feedback (RLHF) • Applied skills in critical analysis and detailed annotation tasks