AI Operations & Data Analyst (Freelance)
I contributed to the creation and curation of high-quality datasets for large language model (LLM) training pipelines. My focus was on supervised fine-tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF), ensuring model alignment and technical accuracy. I evaluated and rated model outputs, especially for coding tasks, and developed scripts to automate data extraction for training. • Engineered datasets targeting SFT and RLHF processes for AI model improvement. • Evaluated and rated technical coding task outputs for accuracy and relevance. • Developed Python tools to automate validation and augmentation of datasets. • Applied expertise with Mindrift, Alignerr, Outlier, and Mercor for labeling tasks.