AI Data Labeller / Annotator (Project-Based)
As an AI Data Labeller/Annotator at Outlier AI, I labeled structured and unstructured datasets such as text prompts, image classifications, and conducted quality evaluation of responses. I followed detailed project guidelines, applied consistent tagging standards, and met strict annotation accuracy and productivity benchmarks. I provided structured feedback on ambiguous data to improve annotation clarity and the overall model training process. • Annotated and evaluated outputs generated by large language models. • Maintained data integrity and labeling consistency across projects. • Met productivity and quality targets under tight deadlines. • Improved feedback mechanisms for edge cases and unclear data samples.