Remote Systems Engineer (Coding Agent Experience) - AI Trainer ($85-$85 per hour)

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. #J-18808-Ljbffr Mercor