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Japanese Pdf Annotation Specialist

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Mercor
Full Time position
Listed on 2026-10-15
Job specializations:
  • Language/Bilingual
    Bilingual
Salary/Wage Range or Industry Benchmark: 34 USD Hourly USD 34.00 HOUR
Job Description & How to Apply Below

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark
, General Catalyst
, Peter Thiel
, Adam D'Angelo
, Larry Summers
, and Jack Dorsey
.

Position: PDF Annotation & Transcription Experts – Japanese
Type:
Contract
Compensation: $34/hour
Location:
Remote

Role Responsibilities

  • Source documents by finding publicly accessible Japanese PDFS with multimodal elements and record their origins.
  • Annotate structure by identifying and bounding every meaningful region, assigning component types and reading-order indices.
  • Record relationships by linking regions to their parent components like figures or tables.
  • Transcribe faithfully, reproducing all text exactly as it appears, including kanji
    , hiragana
    , katakana
    , and handwritten content.
  • Capture page metadata such as language, document type, source, page dimensions, and flags for tables and handwriting.
  • Review a colleague's work, ensuring tasks are reviewed end-to-end by a second Japanese expert.

Qualifications

Must-Have

  • Native Japanese speaker with full command of kanji
    , hiragana
    , and katakana
    .
  • Professional experience in interpretation, journalism, transcription, translation, or editorial work.
  • Exact character-level accuracy, prioritizing precision over speed.
  • Systematic approach, applying a taxonomy consistently across documents.
  • Comfort with unfamiliar layouts like vertical text and multi-column newspapers.

Preferred

  • Experience with AI training data annotation, labeling, or bilingual evaluation.
  • Skills in transcription and localization, including MTPE
    , subtitling, and OCR correction.
  • Document production experience such as typesetting, copy-editing, or proofreading.
  • Knowledge of script and encoding, including Unicode normalization and Japanese input methods.

Resources & Support

  • For details about the interview process and platform information, please check:
  • For any help or support, reach out to:
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