Role overview

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.

Key facts

Remote from: Massachusetts (USA)
Part time
Fraud Analyst
English

Hard skills

Risk Analysis Fraud Detection Risk Modeling Transaction Monitoring Model Validation Payment Schedule Market Development Web Platforms

About the company

Mercor

Company details

Links

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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.

Application Process (Takes 20–30 mins to complete)

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Resources & Support

For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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