Data Annotation/Data Labeling Specialist (AI Training & Evaluation)
As a Data Annotation/Data Labeling Specialist at Outlier, I annotated and validated datasets for training AI models, concentrating on text-based tasks for large language models (LLMs). My responsibilities included applying complex annotation guidelines, reviewing data quality, and providing feedback to help improve model outputs. I adapted to evolving frameworks, maintained high throughput, and collaborated with cross-functional teams. • Conducted LLM response ranking, classification, and prompt evaluation tasks. • Performed quality assurance reviews to ensure consistency and address edge cases. • Provided structured feedback to enhance dataset quality and model accuracy. • Utilized annotation platforms and adapted to various AI training tools in fast-paced environments.