Korean PDF Annotation Expert for AI Training Data

Mercor is seeking native Korean annotators to work on Korean document annotation projects in Rome. You will identify, bound, and label every meaningful region on pages, ensure correct reading order across columns, and produce faithful Hangul transcriptions.

Applicants should be precise, with experience in transcription/editorial work for AI training data. Detailed review by a second Korean expert is part of the workflow, ensuring quality and consistency across hundreds of pages.