Financial Crime & AML Compliance Expert for AI Training
Saidgig
| Company | Saidgig |
| Category | Data & Analytics |
| Location | — |
| Remote | — |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| First seen | 2 Aug 2026 (the employer did not state a posting date) |
| Last verified | 9 Aug 2026 |
| Source | The employer's own careers page (company_site) |
Description
Role Overview Design and optimize advanced financial crime detection frameworks that will train next-generation AI systems. As a contractor working remotely, you will translate hands-on AML, fraud, and payments risk expertise into scenario libraries, detection rules, escalation frameworks, and operational guidance used to teach and evaluate AI models. No prior AI experience is required, domain expertise is the priority.
Key Responsibilities
• Design and document a comprehensive library of fraud, scam, money laundering, and abuse scenarios for financial platforms.
• Identify and define social-engineering red flags and typologies relevant to modern financial crime, including phishing, synthetic identity fraud, and marketplace abuse.
• Create escalation grading scales and frameworks to assess severity and risk across financial crime events.
• Develop benchmark criteria and detection frameworks to evaluate an AI model''s ability to recognize realistic fraud patterns and suspicious activity.
• Review and improve written guidance, workflows, and best practices for financial crime and AML compliance operations.
• Provide detailed, domain-accurate feedback on project deliverables to ensure practical relevance.
• Collaborate with cross-functional teams to translate domain insights into actionable detection and prevention strategies.
Qualifications
• Minimum 5 years of recent, hands-on experience in fraud investigations, AML compliance, payments risk management, or related financial crime roles.
• Proven expertise detecting and analyzing scams, phishing, money laundering, synthetic identity fraud, and marketplace abuse in fintech, banking, crypto, or digital payments environments.
• High credibility in financial crime prevention, with a track record of operational excellence or thought leadership.
• Advanced degree or professional certification such as CAMS, CFE, CFCS, or equivalent operational credentials in financial crime, AML/CTF, or compliance is preferred.
• Exceptional written and verbal communication skills, able to explain complex scenarios and frameworks to technical and non-technical audiences.
• Experience building training materials, scenario libraries, or detection rulebooks is a strong plus.
• Curiosity and analytical rigor to assess evolving typologies and adapt controls accordingly.
• Domain skills explicitly relevant: AML, fraud, marketplace abuse, phishing, synthetic identity, money laundering, scams.
Work Terms
• Role type: Contractor.
• Location: Remote.
Compensation
• Pay range: $50 to $90 per hour.
Eligibility
• No prior AI experience required, subject matter expertise in financial crime and AML is the key qualification.