
PDF Annotation & Transcription Experts – Korean | $33.58/hr Remote
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
AggregatedTypical 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
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 1,138
- Listed in last 30 days
- 394
- Remote
- 99%
Hiring most right now: micro1 (308) · SME Careers (253) · AfterQuery (135)
Most requested skills · share of roles
- ai training14%
- ai evaluation12%
- llm evaluation12%
- data annotation10%
Figures from AI Training roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
Compare your resume against these rolesLocation
Compensation
$31/hr
Required Skills
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.
How NearSkill helps you apply
1. Check your job match
We compare your resume with the job requirements to help you understand how well your experience fits.
2. Continue to the employer’s website
We’ll direct you to the employer’s application portal, where you can complete the application.
3. Get updates by email
If NearSkill is handling follow-up for this role, we’ll email you when there’s an update on your screening.
Want to check your fit first?
See how your resume matches this role before applying.
Check my job matchSimilar open positions
Explore active roles that match your skills and interests.

Mercor
VerifiedPDF Annotation & Transcription Experts – Japanese
Neon builds human-authored training data so document AI can read the languages that parsing and vision models handle worst. This project covers Japanese alongside Korean and five Indic scripts, and each task maps the structure of one public PDF page while transcribing its text in the original script. The corpus leans on the material models struggle with: handwriting, vertical text, dense multi-column layouts, tables, diagrams, and pages that mix scripts. Documents come from newspapers, textbooks, exams, and everyday items such as flyers, forms, manuals, menus, and worksheets. Component identification, typing, reading order, and transcription all come from people, never from a model.

Mercor
VerifiedPDF Annotation & Transcription Experts – Bengali
Neon builds training data for document AI in languages that parsing and vision-language models often miss. This project covers Bengali plus four other Indic scripts, Japanese and Korean. You will map real public PDF pages into structural components and transcribe every text region in original script. Source documents include newspapers, textbooks, exams, flyers, forms, manuals, menus, brochures, notices and worksheets, with a focus on handwriting, dense columns, tables, diagrams and mixed-script layouts. All component identification, typing, reading order and transcription come from human experts.

Mercor
VerifiedPDF Annotation & Transcription Experts – Malayalam
Neon builds training data for document-understanding models that handle Malayalam and other low-resource scripts poorly. You will work through real published PDF pages, from newspapers and exam papers to forms, menus and worksheets, and turn each one into a complete structural map paired with a faithful transcription in Malayalam script. People do all of the work here: region identification, component typing, reading order and transcription. Handwriting, dense multi-column layouts, tables and mixed-script pages make up much of the corpus, so expect careful editorial judgment rather than bulk labeling.

SME Careers
VerifiedKorean OCR QA Expert for PDF Document Annotation
As a remote, hourly contractor, you will review Korean OCR-processed PDF documents to uphold project quality standards. You will verify that all fields have correctly placed bounding boxes, ensure the reading order is accurate, and assess table structures for proper alignment. Providing concise, actionable feedback on Korean usage, OCR transcription, and layout interpretation is a core part of the role. You'll collaborate with project leads and participate in routine team syncs to align on guidelines and quality targets.

Mercor
VerifiedPDF Annotation & Transcription Experts – Telugu
Neon seeks Telugu-fluent annotators to build training data for document AI in scripts that vision-language models handle worst. You will work from real, published PDF pages, mapping each page's structure and transcribing every text region in Telugu script. The corpus covers newspapers, textbooks, exams, flyers, forms, manuals, menus, brochures, notices, and worksheets, with a focus on handwriting, dense columns, tables, diagrams, and mixed-script layouts. All component identification, typing, reading-order assignment, and transcription come from human annotators. A second Telugu expert reviews every task from start to finish.

Micro1
VerifiedKorean Language Expert
micro1 is hiring Korean Language Experts to transcribe audio for a client project that trains next-generation AI systems. You will work with Korean and English audio, producing accurate transcripts and adding metadata that helps models learn from real-world speech. The role is fully remote and open to people without an AI background. Your language skills and attention to detail matter more than prior experience with machine learning.

