Japanese Transcription Expert - Fully Remote

Mercor

Greater London

Remote

GBP 25,000 - 40,000

Full time

14 days+

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Job summary

Mercor is seeking a native Japanese speaker for meticulous document annotation tasks. You will verify pages, annotate all structural regions, and ensure precise transcription of Japanese text, including kanji, kana, furigana, and handwritten content.

The role requires strict attention to every character and a systematic approach to labeling, with a review process by a second expert to maintain quality on real-world documents.

Qualifications

  • Native Japanese speaker with full command of kanji, hiragana and katakana.
  • Experience in interpretation, transcription, translation, editorial work, or document-intensive tasks.
  • Exact character-level accuracy is required.
  • Apply a consistent taxonomy across pages and layouts.
  • Comfort with unfamiliar layouts: vertical text, multi-column pages, handwritten elements.

Responsibilities

  • Open and verify tasks provided; confirm page is in Japanese and legible.
  • Annotate page structure: identify regions and assign types and reading order.
  • Record relationships between regions and parent figures or tables.
  • Transcribe faithfully, including furigana and handwritten content.
  • Capture page metadata: language, document type, dimensions, handwriting indicators.
  • Participate in peer review of work.

Skills

Native Japanese speaker
Character-level accuracy
Attention to detail
Systematic workflow

Tools

Annotation software
OCR tools

Job description

Fluent Language Skills Required: Japanese. Native fluency in Japanese, including full command of kanji, hiragana and katakana, is required for this position. All annotation and transcription work is performed in Japanese.

Why This Role Exists

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.

What You'll Do

  • 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

Who You Are

  • You are a native Japanese speaker with full command of kanji, hiragana and katakana, including furigana and variant character forms

  • You have professional experience in interpretation, journalism, transcription, translation, editorial work, or comparable document-intensive work

  • You are exact: character-level accuracy matters more here than speed, and a single wrong character is a defect

  • You are systematic: you apply a taxonomy consistently across hundreds of pages rather than improvising per document

  • You are comfortable with unfamiliar layouts: vertical text, 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 Japanese-language material

  • Script and encoding: Unicode normalization, Japanese input methods, full-width and half-width forms, and kanji variant 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 vertical text and multi-column layouts

  • Transcriptions match the source character for character, in Japanese script rather than romaji

  • Your tasks pass second-expert review the first time

  • Unsuitable pages are flagged up front rather than after thirty minutes of work

Why Join Mercor

  • Build the training data that makes document AI work in scripts it currently handles badly

  • Work from real published Japanese documents rather than synthetic or templated pages

  • Quality leads on this project: accuracy is the first measure, with handling time tracked alongside it

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