<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <strong>About The Job<br/><br/></strong><strong>Mercor</strong> connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include <strong>Benchmark</strong>, <strong>General Catalyst</strong>, <strong>Peter Thiel</strong>, <strong>Adam D'Angelo</strong>, <strong>Larry Summers</strong>, and <strong>Jack Dorsey</strong>.<br/><br/><strong>Position:</strong> Systems Engineer (Coding Agent Experience)<br/><br/><strong>Type:</strong> <strong>Contract<br/><br/></strong><strong>Compensation:</strong> <strong>$85/hour<br/><br/></strong><strong>Location:</strong> <strong>Remote<br/><br/></strong><strong>Role Responsibilities<br/><br/></strong><ul><li>Use frontier AI coding agents to complete and evaluate complex engineering tasks.</li><li>Review model-generated code, architecture decisions, and systems implementations.</li><li>Identify bugs, edge cases, performance bottlenecks, and failure modes.</li><li>Compare outputs from multiple frontier models and assess their strengths and weaknesses.</li><li>Apply professional engineering judgment to realistic systems engineering scenarios.</li><li>Work independently and asynchronously to meet deadlines while improving AI model performance.<br/><br/></li></ul><strong>Qualifications<br/><br/></strong><strong>Must-Have<br/><br/></strong><ul><li>2+ years of professional systems engineering experience.</li><li>Experience with distributed systems, networking, operating systems, storage systems, infrastructure software, or database internals.</li><li>Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.</li><li>Ability to evaluate model-generated systems designs and implementations.<br/><br/></li></ul><strong>Preferred<br/><br/></strong><ul><li>Experience building highly scalable and performance-critical systems.<br/><br/></li></ul><strong>Compensation &amp; Legal<br/><br/></strong><ul><li>$400 per accepted task</li><li>Compensation is tied to accepted work.<br/><br/></li></ul><strong>Application Process (Takes 20–30 mins to complete)<br/><br/></strong><ul><li>Upload resume</li><li>AI interview based on your resume</li><li>Submit form<br/><br/></li></ul><strong>Resources &amp; Support<br/><br/></strong><ul><li>For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome</li><li>For any help or support, reach out to: support@mercor.com<br/><br/></li></ul><em>PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.<br/><br/></em>,<br/><br/> </div>