Fraud Engineer (Coding Agent Experience)

About the Role

– Mercor is partnering with a leading AI research lab to support a Frontier Code Agents project.

– Contributors help evaluate and improve frontier AI coding models through structured technical assessments.

– The work focuses on realistic fraud, risk, and trust & safety engineering workflows and model evaluation.

– Spots are limited and filling quickly on a first come, first serve basis.

What You’ll Do

– 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.

– Compare outputs from multiple frontier models and assess their strengths and weaknesses.

– Apply professional engineering judgment to realistic fraud and risk engineering scenarios.

Time Commitment

– Sprint based project that runs in 12-24 hour stretches based on client requirement.

Compensation

– $400 per accepted task.

– Typical tasks take approximately 2–3 hours after ramp-up.

– Compensation is tied to accepted work.

Who Should Apply

– 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.

– Experience in fintech, payments, marketplaces, or large-scale consumer platforms is preferred.