Document Analyst – Remote (Worldwide)

About the role

The Document Analyst will work remotely to review, verify, and analyze a wide range of documents, ensuring their accuracy, authenticity, and compliance with global regulations. 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, including photoshopped IDs, counterfeit documents, and deep‑fake attempts.
• Apply forensic techniques to detect anomalies in security features such as holograms, watermarks, and micro‑print.
• 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 on OCR and data‑extraction errors, contributing to golden training datasets.
• Perform quality checks on annotations and ensure high inter‑annotator agreement.
• Maintain compliance with KYC, AML, GDPR, eIDAS, and other relevant regulations.

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 environments.
• Deep knowledge of global identity, financial, and legal documents.
• Proven ability to detect advanced fraud techniques and biometric inconsistencies.
• Familiarity with regulatory frameworks such as GDPR, CCPA, KYC, and AML.

Required skills

• Proficiency with OCR software and document verification tools.
• Experience using annotation platforms.
• Strong working knowledge of data formats: JSON, XML, CSV.