Freelance Data Annotator | Outlier AI
This role involved annotating and reviewing AI-generated text responses to improve large language models via RLHF workflows. Tasks included evaluating model outputs for accuracy, safety, and factual correctness across diverse content types. The position required maintaining high quality scores and meeting productivity targets in a remote setting. • Conducted detailed assessments of LLM-generated outputs for helpfulness and alignment. • Managed multiple annotation streams concurrently to meet platform requirements. • Independently ensured quality by consistently maintaining scores above benchmarks. • Worked in a remote environment, adhering to daily and weekly targets.