Join OpenTrain as a part-time contractor to QA OCR-processed Korean PDFs—verify bounding boxes, tables, reading order, and character-level Korean text for model-training datasets. 20+ hrs/week at $40/hr, remote (KR), native/fluent Korean and strong English required.
General Annotation
Remote Hourly · $40/hr
$40/hr
Compensation
1 country
Eligibility
Entry
Experience
Jul 9, 2026
Posted
Open to applicants in
South Korea
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OpenTrain is the leading platform for finding and building careers in AI training and data labeling. We help freelancers discover projects, consolidate work history, and build a lasting portfolio of annotation and QA experience; creating an OpenTrain account is free.
Why AI Training Work Matters
AI training (data labeling, annotation, and human feedback) is the human side of building modern AI. Annotators and QA specialists prepare and correct the examples models learn from, shaping how systems read, understand, and generate text.
This work is especially well suited to flexible, remote schedules and offers entry points for people with language skills, attention to detail, or domain experience.
100% remote work you can do from anywhere in South Korea
Flexible hours and part-time contracting—fit work around other commitments
Direct impact on how state-of-the-art language and document models behave
The Role
OpenTrain is hiring a Korean Document Annotation QA Expert to review OCR-processed Korean PDF documents and ensure annotations meet precise quality standards. This is a contract, part-time role requiring 20+ hours per week, paid at $40 USD per hour.
You will validate and correct bounding boxes, table structures, reading order, and OCR transcriptions; provide clear, actionable feedback to annotators; and confirm documents meet the project's quality bar before submission.
Employment type: Contractor, Part-time
Time requirement: 20+ hours/week
Pay: $40 USD per hour
Location: Remote within South Korea (KR)
Languages required: Korean (native/fluent) and English (strong written)
What You'll Do
As a QA Expert you will work through a daily QA queue of annotated Korean documents, checking that structure and text capture match detailed guidelines. Your reviews will focus on both layout accuracy and character-level Korean correctness.
Review annotated Korean PDF documents and confirm they meet quality standards
Check and revise bounding boxes for document fields, text blocks, and key-value pairs
Verify Korean reading order, OCR transcription accuracy, spacing, and character-level errors
Classify entities such as headers, footers, charts, tables, and other structured elements
Return issues to annotators with clear, actionable notes and escalate recurring problems or guideline ambiguities
Confirm reviewed documents meet the required quality bar before submission
Requirements
You must be able to perform detailed, consistent QA on Korean-language documents and communicate findings clearly in English. Prior annotation or QA experience and hands-on familiarity with OCR/document workflows are required.
Native or fluent Korean with accuracy at the character level, including spacing, grammar, and usage
Strong professional English for written project communication and feedback
Prior experience in QA, data annotation, document review, OCR validation, or a closely related role
Hands-on familiarity with OCR systems, document parsing, PDF annotation, or structured document review
Ability to verify, revise, add, and classify bounding boxes and reading order
Ability to review dense layouts, table structures, merged cells, headers, footers, and multi-column text
Strong attention to detail, consistency, and a disciplined self-review mindset
Helpful Background and Who Should Apply
This role is a great fit for people who read Korean at a fine-grained level and enjoy structured, detail-oriented review work. Previous experience validating OCR output, working with table structures, or performing document understanding QA is a strong plus.
Experience reviewing OCR-processed documents and document understanding workflows is helpful
Comfort working at scale across large volumes of documents and applying detailed annotation guidelines consistently
How to Apply
To apply, create a free OpenTrain account and submit your application for this project. Use your profile to highlight Korean-language QA or OCR experience and include any relevant examples of document review work.
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