Generalist – Data Labeling & Human Feedback Contributor
At Outlier.ai, I participated as a generalist focused on evaluating, creating, and improving datasets used for training large language models (LLMs). My work involved providing high-quality human feedback to refine AI performance and data accuracy. I contributed to the development of robust training data through critical assessment and curation efforts. • Evaluated model outputs and data samples for appropriateness and correctness. • Created and improved linguistic datasets for LLM development. • Provided detailed feedback on model responses to guide improvements. • Ensured consistent data quality to enhance model training.