Systems 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 systems 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 engineering tasks.

- Review model-generated code, architecture decisions, and systems implementations.

- Identify bugs, edge cases, performance bottlenecks, and failure modes.

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

- Apply professional engineering judgment to realistic systems 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 systems engineering experience.

- Experience with distributed systems, networking, operating systems, storage systems, infrastructure software, or database internals.

- Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.

- Ability to evaluate model-generated systems designs and implementations.

- Experience building highly scalable and performance-critical systems is preferred.