AI Data Trainer, Outlier / Scale AI, Remote
As an AI Data Trainer, I validated model outputs from transformer model families by designing targeted evaluation tasks and comprehensive unit tests. I curated and ensured the highest quality of research-grade datasets for mathematical, coding, and STEM use cases, following rigorous evaluation protocols. I performed peer review and maintained quality control over complex problem decompositions and prompt refinement procedures. • Designed evaluation and unit testing protocols for Pegasus, Hypno, and Starmie models. • Produced high-quality datasets supporting robust downstream model training. • Ensured accuracy and completeness in prompt engineering for STEM and coding tasks. • Conducted peer review and quality assurance for scientific problem decompositions.