About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Fraud Engineer (Coding Agent Experience) Type: Contract Compensation: $80/hour Location: Remote
Role 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.
Qualifications
Must-Have
- 2+ years of professional experience in 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.
Preferred
- Experience in fintech, payments, marketplaces, or large-scale consumer platforms.
Compensation & Legal
- $400 per accepted task
- Compensation is tied to accepted work.
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Risk Engineer - Fully Remote | Upto $80/hr Arbeitgeber: Mercor
Als Arbeitgeber bieten wir Ihnen die Möglichkeit, in einem innovativen Umfeld zu arbeiten, das sich auf die Entwicklung hochrealistischer Marketing-Simulationsumgebungen konzentriert. Unsere Unternehmenskultur fördert Kreativität und Zusammenarbeit, während wir gleichzeitig individuelle Wachstumschancen durch Schulungen und Zertifizierungen wie Rubric Academy oder Bootcamp anbieten. Bei uns haben Sie die Chance, Ihre praktischen Erfahrungen im Produktmarketing einzubringen und an spannenden Projekten zu arbeiten, die die Zukunft der KI-gestützten Marketinglösungen gestalten.
