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PDF Annotation & Transcription Experts – Korean | $33.58/hr Remote

31/hr
Remote
Posted October 3, 2026
hourly
50 openings
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Listing checked October 16, 2026 · pay as published by Mercor

Overview

Neon needs Korean speakers to build training data for document AI that struggles with Korean PDFs. You will work from real published pages, not synthetic samples, and map each region, transcribe text in Hangul, and flag anything illegible. The project centers on the layouts parsing and vision-language models handle worst: handwriting, dense columns, tables, diagrams, and mixed-script pages. Documents come from newspapers, textbooks, exams, flyers, forms, manuals, menus, brochures, notices, and worksheets. Every task receives review from a second Korean expert.

What You'll Do8

  • 1Check each assigned PDF page for Korean text, legibility, real content, and the absence of personal details before annotation begins.
  • 2Identify every meaningful region on the page, including titles, headings, paragraphs, lists, tables, figures, diagrams, captions, formulas, questions, and answer fields.
  • 3Bound each region and assign a component type plus a reading-order index that matches the page flow.
  • 4Link related regions to their parent figure or table with the correct parent component identifier.
  • 5Transcribe all visible text in Hangul, reproducing hanja and handwritten content with character-level fidelity.
  • 6Flag any region where the source is not legible.
  • 7Record page metadata such as language, document type, source, page dimensions, and flags for tables, formulas, and handwriting.
  • 8Take on full review of another expert's task once you have the needed experience.

Requirements9

  • 1Native Korean fluency with command of Hangul, including hanja in older or formal documents.
  • 2Background in bilingual transcription, translation, editorial work, or AI training data, with reviewer experience a plus.
  • 3Track record of character-level accuracy, where a single wrong jamo counts as a defect.
  • 4Ability to apply a taxonomy the same way across hundreds of pages instead of improvising for each document.
  • 5Comfort with unfamiliar layouts such as multi-column newspapers, exam papers, and handwritten forms.
  • 6Nice-to-have: AI training data work in annotation, labeling, grading, or bilingual evaluation.
  • 7Nice-to-have: transcription and localization experience in MTPE, subtitling, bilingual QA, OCR correction, or post-editing.
  • 8Nice-to-have: document production skills in typesetting, copy-editing, proofreading, or digitization of Korean material.
  • 9Nice-to-have: script and encoding knowledge in Unicode normalization, Korean input methods, Hangul jamo composition, and hanja handling.

Who Should Apply

Native Korean speakers with Hangul and hanja fluency who have handled transcription, translation, editorial tasks, or AI training data. The role fits someone who prizes character-level accuracy, applies one taxonomy across many pages, and has reviewer experience or wants to take it on.

Salary Insight

This contract pays $31.00/hr, a rate that often suits native Korean annotators with reviewer experience and a record of character-level precision.

Pay and demand for AI Training roles

Aggregated

Typical pay

$70/hour

This role

$31/hr

Most AI Training roles pay $34–$95 per hour. This role's pay sits below that range.

Based on 999 similar roles that publish pay · 301 publish only a top rate; those count at the rate they gave

Typical rangeMedian payThis role

Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.

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Location

Typeremote
LocationRemote
Eligible countriesSouth Korea, United States, Canada, United Kingdom
This is a remote position

Compensation

$31/hr

Required Skills

koreanhangulhanjapdf annotationtranscriptiondata labelingai training datadocument layout analysisreading ordertext extractionocr post-editingbilingual qamtpesubtitlingcopy-editingproofreadingtypesettingdigitizationunicode normalizationkorean input methodshangul jamo compositiondocument understandingreviewingannotation taxonomydocument metadata

Application Tip

Spell out your Korean fluency up front, name Hangul, hanja, and any OCR or transcription tools you know, and quantify past annotation or review volume, such as pages completed or tasks approved on first review. Add a short note on how you handle multi-column layouts and handwritten forms.

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