Remote Document Analyst – Identity Verification

About the role

The Document Analyst works remotely to review, verify, and analyze a wide range of documents for accuracy, authenticity, and regulatory compliance. You will support operational integrity by detecting discrepancies, fraud, and procedural gaps across identity, financial, and legal documents.

Key responsibilities

• Analyze and validate data extracted from IDs, proof‑of‑address, financial statements, contracts, and medical forms.
• Identify sophisticated document 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 create and refine annotation guidelines for global document diversity.
• Provide structured feedback to ML engineers and data scientists on model performance and OCR errors.
• Perform quality checks on annotations and ensure high inter‑annotator agreement.
• Maintain compliance with KYC, AML, GDPR, eIDAS, and other relevant regulations.
• Identify workflow improvements to reduce manual touchpoints while preserving accuracy and security.

Required profile

• Minimum 3 years of experience in document analysis, identity verification, KYC/AML operations, or data extraction within fintech, legal‑tech, trust & safety, or AI training.
• Deep knowledge of global identity, financial, and legal documents and fraud indicators.
• Proven ability to detect sophisticated manipulation techniques and biometric discrepancies.
• Familiarity with KYC/AML frameworks and data‑privacy regulations such as GDPR and CCPA.

Required skills

• OCR software
• Document verification tools
• Annotation platforms
• JSON
• XML
• CSV