Risk Engineer - Fully Remote | Upto $80/hr

mercor; Deutschland; Remote; EUR 84,000 - 113,000; Part time

Job summary

Mercor connects elite creative and technical talent with leading AI research labs. A Fraud Engineer (Coding Agent Experience) is sought to use frontier AI coding agents to complete and evaluate fraud and risk tasks remotely.

Responsibilities include reviewing model-generated implementations, identifying bugs and edge cases, and comparing outputs from multiple frontier models to improve robustness. This contract role pays per accepted task and requires 2+ years in fraud engineering.

Qualifications

• 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.

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

Model evaluation

Tools

Cursor

Claude Code

Codex

Windsurf

Gemini CLI

Job description

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.