Document Analyst – Remote (Worldwide)

About the role

We are looking for a Document Analyst to join our global team remotely. You will be responsible for reviewing, verifying and analyzing a wide range of documents to ensure accuracy, authenticity and regulatory compliance.

Key responsibilities

• Analyze and validate data extracted from IDs, proof‑of‑address, financial statements, legal contracts and medical forms.
• Detect sophisticated fraud such as photoshopped IDs, counterfeit documents and deep‑fake attempts using forensic techniques.
• Handle edge cases involving damaged, non‑standard or foreign‑jurisdiction documents.
• Collaborate with Policy and Product teams to refine annotation guidelines and improve model performance.
• Provide feedback to ML engineers, identify OCR errors and contribute to golden training datasets.
• Perform quality checks on annotations and ensure high inter‑annotator agreement.
• Maintain compliance with KYC, AML, GDPR, eIDAS and other global regulations.
• Suggest workflow and tooling improvements to reduce manual effort while preserving security.

Required profile

• Minimum 3 years of experience in document analysis, identity verification, KYC/AML operations or data extraction.
• Deep knowledge of global identity, financial and legal documents.
• Proven ability to spot advanced document fraud and biometric discrepancies.
• Experience with verification tools, OCR software or annotation platforms.
• Familiarity with structured data formats (JSON, XML, CSV).
• Strong understanding of KYC/AML frameworks and data‑privacy regulations (GDPR, CCPA).

Required skills

• OCR software
• Document verification tools
• Annotation platforms
• JSON, XML, CSV
• KYC/AML frameworks