Risk Engineer - Fully Remote | Upto $80/hr

mercor; United States; Remote; USD 455,000 - 647,000; Full time

Job summary

Mercor, a San Francisco-based company, is hiring a Contract Fraud Engineer (Coding Agent Experience) to work remotely. You will use frontier AI coding agents to tackle complex fraud and risk engineering tasks, review model-generated implementations, and ensure robustness.

Ideal candidates have 2+ years in fraud/risk engineering, experience building detection systems, and familiarity with tools like Cursor, Claude Code, Codex, Windsurf, or similar.

Qualifications

• 2+ years of professional fraud or risk engineering experience.
• Experience building fraud detection and risk models.
• Familiarity with advanced AI coding agents.
• Ability to evaluate model outputs in fraud contexts.

Responsibilities

• Use frontier AI coding agents to complete complex fraud and risk tasks.
• Review model-generated implementations for fraud detection and risk tooling.
• Identify bugs, edge cases, and failure modes to improve robustness.
• Compare outputs from multiple frontier models and assess strengths and weaknesses.

Skills

Fraud engineering

Risk engineering

Trust & safety

AI coding tools

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.