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Document Annotation Specialist (The Americas and Caribbean)

Posted 6 days ago
0-2 years experience
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AI Summary

The specialist will review and annotate document images to ensure accurate text, table, and layout representation. They are responsible for correcting OCR errors, adjusting bounding boxes, and applying consistent Markdown formatting to digitized content.

Company Description

An enterprise client is seeking detail-oriented and quality-focused specialists to support document digitization and data accuracy initiatives. The role involves reviewing, annotating, and transcribing text and document regions from scanned images, ensuring accurate representation of written content through OCR correction, bounding box adjustment, and consistent Markdown formatting. The organization is looking for candidates with native or near-native proficiency in Haitian Creole or Quechua, strong attention to detail, and the ability to accurately process complex document layouts, tables, mathematical expressions, and multilingual text.

Job Description

​​​​

  • Review and annotate document images to accurately identify text, paragraphs, tables, and other document elements.
  • Correct Optical Character Recognition (OCR) errors, including spelling mistakes, missing characters, formatting inconsistencies, and transcription inaccuracies.
  • Create, review, and adjust bounding boxes to precisely capture text blocks, paragraphs, tables, and other document regions.
  • Transcribe text exactly as it appears in source documents, preserving original characters, symbols, punctuation, diacritics, and formatting.
  • Review and annotate tables, mathematical expressions, and LaTeX equations while maintaining structural and textual accuracy.
  • Apply Markdown formatting consistently to represent document structures, including headings, lists, tables, and other elements.
  • Process multilingual documents while preserving language-specific characters, writing systems, and special symbols.
  • Follow project guidelines and annotation standards to ensure consistent, accurate, and reliable outputs.
  • Identify discrepancies in annotated data and make corrections in accordance with established instructions.
  • Maintain high levels of transcription accuracy and data quality while meeting project deadlines.
  • Review complex document layouts and technical content to ensure the integrity of digitized information.
  • Collaborate with project stakeholders and follow quality requirements throughout the document annotation process.

Qualifications

  • Native or near-native proficiency in Haitian Creole or Quechua.
  • Strong attention to detail and the ability to identify minor errors in text, formatting, and document layouts.
  • Demonstrated ability to transcribe text accurately and reproduce exact characters, punctuation, symbols, tables, and mathematical expressions.
  • Familiarity with OCR text correction, document annotation, bounding box adjustment, or related data quality tasks.
  • Understanding of Markdown formatting and structured document representation.
  • Ability to review multilingual text while preserving special characters, diacritics, and language-specific writing conventions.
  • Strong reading comprehension and the ability to follow detailed instructions and annotation guidelines.
  • Ability to work independently, maintain consistent quality, and meet project deadlines.
  • Strong analytical and problem-solving skills, particularly when identifying discrepancies in document data.
  • Ability to work with complex document layouts, scanned images, tables, mathematical notation, and technical content.

Preferred Qualifications

  • Previous experience in data annotation, OCR correction, document digitization, transcription, or data quality review.
  • Familiarity with scanned documents, complex layouts, tables, mathematical notation, and LaTeX equations.
  • Experience working with multiple languages, multilingual documents, or non-Latin scripts.
  • Experience following structured quality assurance procedures and annotation guidelines.
  • Ability to maintain high accuracy and consistency when processing large volumes of document data.

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