Document Annotation QA Expert

You will review Korean-language PDF documents that have been processed by OCR, or optical character recognition. Your job is to check whether the annotations accurately capture the text, layout, and structure needed for AI training datasets.

• Review annotated Korean PDF documents in a daily quality assurance queue.
• Check that document fields have correctly placed bounding boxes around them.
• Verify Korean text, reading order, and OCR transcription accuracy.
• Correct subtle character-level errors, including spacing, grammar, and usage issues.
• Review and correct classifications for tables, charts, text blocks, key-value pairs, headers, footers, and other document elements.
• Check table boundaries, row and column alignment, merged cells, headers, and logical hierarchy.
• Send annotators clear, actionable notes when you find issues.
• Escalate recurring error patterns and unclear guidelines to project leads.
• Confirm that reviewed documents meet the required quality standard before submission.

This is a part-time contractor role for candidates in South Korea. The work requires careful review of dense document layouts and consistent attention to detail.

• Pay: $40 per hour.
• Time: 20 or more hours per week.
• Location: Open to candidates in South Korea.
• Language: Fluent Korean with strong accuracy in character-level review, spacing, grammar, and usage.
• Language: Strong professional English for project communication and written feedback.
• Experience: Entry-level role with prior experience in QA, data annotation, document review, content review, OCR validation, or a closely related area.
• Skills: Familiarity with OCR systems, document parsing, PDF annotation, or structured document review.
• Skills: Ability to verify, revise, add, and classify bounding boxes around document elements.
• Skills: Ability to review dense layouts, tables, merged cells, headers, footers, and multi-column text.
• Helpful background: Experience with OCR-processed documents and document understanding workflows.
• Helpful background: Comfort reviewing Korean layout, transcription, and annotation issues across large volumes of work.
• Work style: Strong attention to detail, consistency, and disciplined self-review.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training is the human work behind systems that understand text, images, and other information. Reviewers label examples, correct errors, and check quality so models can learn from reliable data.