Document Analyst – Remote (Worldwide)

About the role

We are looking for a Document Analyst to work remotely worldwide. The role involves reviewing, verifying and analysing 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 or non‑standard documents from diverse jurisdictions.
• Collaborate with policy and product teams to create and refine annotation guidelines for global document diversity.
• Provide feedback to ML engineers and data scientists on OCR and extraction model performance.
• 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.
• Deep knowledge of global identity, financial and legal documents.
• Proven ability to identify advanced document fraud and biometric discrepancies.
• Familiarity with regulatory frameworks such as KYC, AML, GDPR and CCPA.

Required skills

• Experience with document verification tools and OCR software.
• Use of annotation platforms for data labeling.
• Working with structured data formats: JSON, XML, CSV.