Fraud Engineer (Coding Agent Experience)

About this role

**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.

Skills & domains

• ai-training
• rlhf
• sme
• annotation
• Data Analysis