Remote Fraud Risk Engineer - AI Coding Agent Expert

mercor; San Francisco (CA); Hybrid; GBP 71,000 - 96,000; Full time

Job summary

Mercor connects elite creative and technical talent with leading AI research labs. We are seeking a Fraud Engineer (Coding Agent Experience) for a remote contract role, offering compensation per accepted task and a focus on high-accuracy fraud/risk solutions.

You will work with frontier AI coding agents to tackle challenging fraud engineering problems and review model outputs for robustness. The role requires 2+ years in fraud or risk engineering, hands-on experience with fraud detection

Qualifications

• 2+ years of professional fraud engineering, risk engineering, trust & safety, or related domains.
• Experience building fraud detection systems, risk scoring models, abuse prevention tooling, or transaction monitoring systems.
• Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
• Ability to evaluate model-generated solutions in fraud, risk, and trust & safety contexts.

Responsibilities

• Use frontier AI coding agents to complete and evaluate complex fraud and risk engineering tasks.
• Review model-generated implementations involving fraud detection systems, risk scoring models, abuse prevention tooling, and transaction monitoring systems.
• Identify bugs, edge cases, and failure modes to enhance model robustness.
• Compare outputs from multiple frontier models and assess their strengths and weaknesses.
• Apply professional engineering judgment to realistic fraud and risk engineering scenarios.

Skills

Fraud engineering

Risk engineering

Trust & safety

Tools

Cursor

Claude Code

Codex

Windsurf

Gemini CLI

Job description

Mercor connects elite creative and technical talent with leading AI research labs. We are seeking a Fraud Engineer (Coding Agent Experience) for a remote contract role, offering compensation per accepted task and a focus on high-accuracy fraud/risk solutions.

You will work with frontier AI coding agents to tackle challenging fraud engineering problems and review model outputs for robustness. The role requires 2+ years in fraud or risk engineering, hands-on experience with fraud detection