Remote opportunity for security engineers with AI coding agent experience to evaluate AI-generated code, identify vulnerabilities and security flaws, review security architectures, and contribute to frontier AI model benchmarking projects.
Fraud Engineer (Coding Agent Experience)
Job description
About the Role
Mercor is partnering with a leading AI research lab to support a Frontier Code Agents project.
This role focuses on evaluating and improving frontier AI coding models through realistic fraud, risk, and trust & safety engineering workflows and structured technical assessments.
Contributors use professional fraud and risk engineering expertise to review, compare, and improve AI-generated systems related to fraud detection, risk scoring, abuse prevention, and transaction monitoring.
Key Responsibilities
Evaluate AI Coding Agents
- Review AI-generated implementations involving fraud detection systems, risk scoring engines, abuse prevention tooling, transaction monitoring systems, and trust & safety workflows
Fraud & Risk Engineering Assessment
- Apply professional judgment to realistic fraud and trust & safety scenarios
- Review detection systems, risk models, abuse prevention mechanisms, monitoring infrastructure, and investigation workflows
Required Experience
- Minimum 2 years of professional experience in Fraud Engineering, Risk Engineering, Trust & Safety, or related fraud prevention domains
- Experience building fraud detection systems, risk scoring models, abuse prevention tooling, or transaction monitoring systems
Preferred Qualifications
- Experience in fintech, payments, marketplaces, or large-scale consumer platforms
AI Coding Tools
Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
Important Note
Mercor currently cannot support H1-B or STEM OPT candidates.
Compensation
- $400 per accepted task (~$80/hr effective rate)
About Mercor
Mercor partners with leading AI labs and enterprises to train and evaluate frontier AI systems using expert human knowledge.
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