Remote Document Analyst – Identity Verification & Fraud Detection

About the role

The Document Analyst works remotely to review, verify, and analyze a wide range of documents, ensuring they meet accuracy, authenticity, and regulatory standards. This position supports 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, including 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 develop and refine annotation guidelines for global document diversity.
• Provide feedback to ML engineers on model performance and contribute to golden datasets for training.
• 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 effort 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‑and‑safety, or AI training environments.
• Deep knowledge of global identity, financial, and legal documents.
• Proven ability to detect advanced document fraud and biometric inconsistencies.
• Familiarity with KYC/AML frameworks and data‑privacy regulations such as GDPR and CCPA.

Required skills

• Document verification tools
• OCR software
• Annotation platforms
• JSON, XML, CSV data formats