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.