Enterprise Fraud Detection AI Evaluation Expert

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role and the #1 platform for finding and building careers in AI training and data labeling. We connect specialized professionals with opportunities to help shape how advanced AI systems perform, while supporting contributors as they build lasting careers in the field.

About AI Evaluation Work

AI training is the human side of building artificial intelligence. Expert contributors create realistic examples, review model outputs, and develop evaluation standards that help AI systems become more accurate, useful, and reliable.

In this role, your enterprise fraud expertise will help test whether AI systems can reason through complex fraud detection, financial crimes investigations, regulatory reporting, and escalation decisions—not merely repeat textbook concepts.

The Role

OpenTrain AI is recruiting an Enterprise Fraud Detection AI Evaluation Expert to design high-quality evaluation tasks for AI systems operating in Fortune 500 fraud and financial crimes contexts. You will create realistic scenarios, draft reference outputs, and author rubrics that reflect the judgment required in large-scale financial institutions.

• Contractor, part-time engagement
• Remote and worldwide
• English-language work
• 20+ hours per week
• $60–$70 per hour

What You'll Do

You will build text-based evaluation content covering enterprise fraud operations, investigation workflows, transaction monitoring, and regulatory reporting. Your work will establish meaningful tests of model performance in complex, high-stakes situations.

• Construct enterprise fraud scenarios involving large-scale transaction monitoring, multi-stakeholder investigations, and complex SAR and CTR reporting cycles at Fortune 500 institutions.
• Create tasks covering payment fraud, account takeover, anti-money laundering, synthetic identity fraud, and merchant or card network fraud.
• Develop scenarios involving tools such as SAS Fraud Management, Actimize, Feedzai, and enterprise case management platforms.
• Apply enterprise fraud detection methodologies to produce reference investigation reports, risk models, and executive-level fraud narratives.
• Author rubrics that distinguish authentic enterprise fraud investigation judgment from generic textbook knowledge or certification-exam-level recall.

Required Experience

This role requires substantial, directly relevant experience in enterprise fraud detection, financial crimes investigation, or AML compliance. Candidates should have worked at a Fortune 500 bank, payments company, or financial institution and understand how fraud programs operate at scale.

• 5+ years of experience in fraud detection, financial crimes investigation, or AML compliance at a Fortune 500 institution.
• Direct ownership of Fortune 500-scale fraud detection programs, investigation caseloads, or transaction monitoring systems.
• Fluency in enterprise fraud detection tools and methodologies.
• Understanding of FinCEN and BSA/AML regulatory reporting, law enforcement coordination, and case escalation.
• Experience with tools such as SAS Fraud Management, Actimize, or Feedzai.

Helpful Background

• Authorship of evaluation rubrics, fraud-investigation training curricula, or case documentation.
• Experience translating complex fraud operations judgment into clear written guidance or quality standards.

Why This Work Matters

Every major AI system depends on carefully prepared and reviewed human examples. By applying your professional experience to realistic evaluation scenarios, you will help shape how emerging AI handles fraud detection and financial crimes workflows.

• Work remotely with flexible part-time scheduling.
• Apply specialized industry knowledge to cutting-edge AI development.
• Help evaluate whether AI systems can handle nuanced enterprise judgment.