Fraud Engineer - AI Specialist

mercor; United States; Remote; USD 110,000 - 138,000; Full time

Job summary

Mercor, headquartered in San Francisco, seeks a Fraud Engineer (Coding Agent Experience) for a remote contract role. You will use frontier AI coding agents to tackle complex fraud and risk tasks, reviewing model-generated implementations across detection systems and risk scoring.

The role requires 2+ years in fraud engineering or trust & safety, plus experience building detection and monitoring tools, and comfort evaluating AI-assisted solutions.

Qualifications

• 2+ years of professional experience in fraud engineering or related domains.
• Experience building fraud detection systems, risk scoring models, 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

AI coding agents

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.

Resources & Support

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