PDF Annotation & Transcription Experts – Japanese
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Job Description
Japanese PDF annotation and transcription expert creating structural annotations and faithful transcriptions. Building human-authored training data for Mercor’s document AI projects.
Responsibilities:
- Open and check provided PDF annotation tasks
- Confirm pages are in Japanese, legible, contain real content, and show no personal details
- Identify and bound every meaningful page region
- Assign component types and reading-order indexes
- Link regions to their associated figures or tables using parent component identifiers
- Transcribe all text exactly as shown, including Japanese scripts, furigana, and handwriting
- Flag illegible source regions
- Capture language, document type, source, page dimensions, and table/formula/handwriting flags
- Review colleagues’ work end to end as an experienced annotator
- Produce human-authored training data for document AI models
Requirements:
- Native Japanese speaker with full command of kanji, hiragana, katakana, furigana, and variant character forms
- Professional experience in interpretation, journalism, transcription, translation, editorial work, or comparable document-intensive work
- Character-level accuracy and strong attention to detail
- Ability to apply a taxonomy consistently across hundreds of pages
- Comfort with vertical text, multi-column newspapers, exam papers, and handwritten forms
- Fluent Japanese language skills required; all work is performed in Japanese
- Ability to work as an independent contractor
- H1-B and STEM OPT candidates are not supported
Benefits:
- Fully remote role
- Flexible schedule / work on your own schedule
- Weekly payments via Stripe or Wise
- Projects may be extended, shortened, or concluded early depending on needs and performance
- Competitive payment
- Opportunity to work with leading researchers and contribute to next-generation AI systems
- Referral payments of up to $140 per successful referral (restrictions may apply)
- Reasonable accommodations upon request
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