Bilingual Document Annotator
Posted 4 days ago by micro1
Negotiable
Undetermined
Remote
EMEA
Summary: Join a customer-focused team as a Bilingual Document Annotator, responsible for ensuring the accuracy of structured data extraction from complex documents. This role involves validating and correcting AI-generated data from multi-page PDFs, requiring a keen eye for detail and language proficiency. Your contributions will be vital 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.
Key Skills:
- 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.
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
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.