AI Model Trainer (Contract) — Outlier.ai (Remote)
Trained AI model responses by annotating and curating 250+ errors found in LLM outputs across multiple domains. Focused on identifying incorrect, incomplete, or low-quality responses and documenting corrections to improve downstream model performance. Maintained 95%+ annotation accuracy while following strict quality guidelines for consistency and reliability. • Error-focused evaluation of LLM response quality • Structured annotation of issues to support model improvement • Multi-domain coverage to broaden training signal • Accuracy tracking and adherence to quality standards