Bilingual Document Annotator

Job Title: Bilingual Document Annotator

Job Type: Contract (Full-time or Part-time)

Location: Remote

Job Summary:

Join our customer’s team as a Bilingual Document Annotator and play a critical role in ensuring the highest accuracy of structured data extraction from complex documents. You will validate, correct, and enrich AI-generated data from multi-page PDFs, ensuring every data point is precise and actionable. Your eye for detail and language expertise will directly contribute to the success of high-stakes document processing initiatives.

Key Responsibilities:

• Review AI-generated JSON data for accuracy, comparing it meticulously against source PDF documents.
• Validate extracted values and correct discrepancies, ensuring fields match exactly with the original content.
• Perform rigorous error detection and data validation, from tables to financial summaries across lengthy documents.
• Confirm that all mathematical calculations are precise, including cross-document totals and line item summations.
• Navigate and interpret nested JSON structures, ensuring each value is present in the correct schema location.
• Utilize advanced linguistic skills to annotate and correct documents in both supported languages.
• Provide detailed feedback on recurring errors and collaborate with team members to improve annotation quality.

Required Skills and Qualifications:

• Proficiency in reading and navigating complex, multi-page PDFs with tables, formulas, and financial data.
• Exceptional attention to detail—one incorrect figure can compromise the data integrity.
• Advanced reading comprehension in English with strong written and verbal communication skills.
• Bilingual proficiency with the ability to annotate and review documents in two languages.
• Familiarity with JSON files; able to verify field accuracy and schema placement.
• Solid experience in data validation, quality assurance, proofreading, or document annotation.
• Comfortable with basic mathematical validation and cross-referencing values.

Preferred Qualifications:

• Background in insurance, finance, legal, or government document processing.
• Previous experience working with structured data extraction tools or annotation platforms.
• Demonstrated ability to handle large volumes of detail-oriented work independently and efficiently.