About The Position

This role is for one of our clients. Document understanding breaks down fastest in the languages that parsing and vision-language models rarely see. This project builds training data for exactly those languages: Japanese, alongside Korean 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 deliberately concentrates on the material models handle worst: handwriting, dense multi-column layouts, vertical text, tables, diagrams, and mixed-script pages. Documents are drawn from newspapers, textbooks, examinations, and everyday formats such as flyers, forms, manuals, menus, brochures, notices and worksheets, so that the corpus reflects the real diversity of Japanese documents rather than a narrow band of easily parsed ones. Delivered work is human-authored throughout. Component identification, component typing, reading order and all transcription are performed by people, not generated by parsing models.

Requirements

  • Native Japanese speaker with full command of kanji, hiragana and katakana, including furigana and variant character forms
  • Professional experience in interpretation, journalism, transcription, translation, editorial work, or comparable document-intensive work
  • Exact: character-level accuracy matters more here than speed, and a single wrong character is a defect
  • Systematic: you apply a taxonomy consistently across hundreds of pages rather than improvising per document
  • Comfortable with unfamiliar layouts: vertical text, multi-column newspapers, exam papers, handwritten forms

Nice To Haves

  • 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 Japanese-language material
  • Script and encoding: Unicode normalization, Japanese input methods, full-width and half-width forms, and kanji variant handling

Responsibilities

  • Open and check a task: pages are provided, so you do not source documents yourself. We find the PDFs and upload them for you. Before annotating, confirm the page is in Japanese, is 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, including kanji, hiragana, katakana, furigana 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 Japanese expert, and experienced annotators take on that review
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