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Korean PDF Annotation SpecialistMercor • San Francisco, California, United States
Korean PDF Annotation Specialist

Korean PDF Annotation Specialist

Mercor • San Francisco, California, United States
2 days ago
Salary
$34.00 hourly
Job type
  • Part-time
  • Remote
  • Quick Apply
Job description

About the job

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 – Korean
Type: Contract
Compensation: $34/hour
Location: Remote

Role Responsibilities

  • Source documents by finding publicly accessible Korean PDFs with multimodal elements like images, tables, or diagrams. Record the source of each document.
  • Annotate structure by identifying and bounding every meaningful region of the page. Assign each a component type and a reading-order index.
  • Record relationships by linking each region to its parent component, such as a figure or table.
  • Transcribe faithfully by reproducing all text exactly as it appears in Hangul, including any hanja and handwritten content. Flag any illegible regions.
  • Capture page metadata, including 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.

Qualifications

Must-Have

  • Native Korean speaker with full command of Hangul, including hanja.
  • Experience in bilingual transcription, translation, editorial work, or AI training data.
  • Exact character-level accuracy.
  • Systematic application of taxonomy across pages.
  • Comfort with unfamiliar layouts like multi-column newspapers and handwritten forms.

Preferred

  • Experience with AI training data: annotation, labeling, grading, or bilingual evaluation.
  • Skills in transcription and localization: MTPE, subtitling, bilingual QA, OCR correction.
  • Document production experience: typesetting, copy-editing, proofreading, or digitization of Korean-language material.
  • Knowledge of script and encoding: Unicode normalization, Korean input methods, Hangul jamo composition, and hanja handling.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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Korean PDF Annotation Specialist • San Francisco, California, United States

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