PDF Annotation & Transcription Experts - Korean

About the role

This role exists to build training data for languages that parsing and vision‑language models rarely see, focusing on Korean alongside Japanese and five Indic scripts. Each task takes a real, publicly available PDF page and produces a complete structural map of that page paired with a faithful transcription of every text region in the original script. The dataset concentrates on the material models handle worst: handwriting, dense multi‑column layouts, tables, diagrams, and mixed‑script pages. Documents are drawn from newspapers, textbooks, examinations, flyers, forms, manuals, menus, brochures, notices, and worksheets to reflect the real diversity of Korean documents. All annotation and transcription work is performed by people, not by parsing models.

Responsibilities

• Open and check a task: confirm the page is in Korean, legible, has real content, and shows no personal details.
• Annotate structure: identify and bound every meaningful region of the page (document title, section heading, paragraph, list, table, figure, diagram, caption, formula, question, answer field) and assign each a component type and a reading‑order index.
• Record relationships: link each region to the figure or table it belongs to through a parent component identifier.
• Transcribe faithfully: reproduce all text exactly as it appears in Hangul, including any hanja and handwritten content, flagging any region where the source is not legible.
• Capture page metadata: language, document type, source, page dimensions, and flags for tables, formulas and handwriting.
• Review a colleague's work: every task is reviewed end‑to‑end by a second Korean expert, and experienced annotators take on that review.

Requirements

• Native Korean speaker with full command of Hangul, including hanja where it appears in older or formal documents.
• Fluent language skills required: Korean.
• Experience in bilingual transcription, translation, editorial work, or AI training data, ideally with reviewer experience.
• Exactness: character‑level accuracy matters more than speed; a single wrong jamo is a defect.
• Systematic: apply a taxonomy consistently across hundreds of pages rather than improvising per document.
• Comfortable with unfamiliar layouts: multi‑column newspapers, exam papers, handwritten forms.

Nice-to-Have Specialties

• AI training data: annotation, labeling, grading, or bilingual evaluation for training datasets.
• Transcription and localization: MTPE, subtitling, bilingual QA, OCR correction or post‑editing.
• Document production: typesetting, copy‑editing, proofreading, or digitization of Korean‑language material.
• Script and encoding: Unicode normalization, Korean input methods, Hangul jamo composition, and hanja handling.

What Success Looks Like

• Every meaningful region on the page is captured, correctly bounded and correctly typed.
• Reading order reflects how the page is actually read, including across columns.
• Transcriptions match the source character for character, in Hangul rather than romanization.
• Tasks pass second‑expert review the first time.
• Unsuitable pages are flagged up front rather than after thirty minutes of work.

Pay

$33.58 per hour