Document Analyst (Remote)

About the role

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

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 microprint.
• 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 structured feedback to ML engineers, flag 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.

Required profile

• Minimum 3 years 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 fraud techniques and biometric inconsistencies.
• Familiarity with data privacy regulations (GDPR, CCPA) and industry standards for identity verification.

Required skills

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

What we offer

• Fully remote work with flexible hours
• Opportunity to influence cutting‑edge AI models
• Collaborative international team