About this role
<h3>About the job</h3><p><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>.</p><p><strong>Position:</strong> Data Engineer (Coding Agent Experience)<br><strong>Type:</strong><strong>Contract</strong><br><strong>Compensation:</strong><strong>$80/hour</strong><br><strong>Location:</strong><strong>Remote</strong></p><h3>Role Responsibilities</h3><ul>
<li>Use frontier <strong>AI coding agents</strong> to complete and evaluate complex <strong>data engineering</strong> tasks.</li>
<li>Review model-generated implementations involving <strong>ETL pipelines</strong>, <strong>data warehouses</strong>, <strong>analytics platforms</strong>, and <strong>distributed data systems</strong>.</li>
<li>Identify bugs, edge cases, scalability issues, and failure modes in model outputs.</li>
<li>Compare outputs from multiple frontier models and assess their strengths and weaknesses.</li>
<li>Apply professional engineering judgment to realistic <strong>data engineering</strong> scenarios.</li>
</ul><h3>Qualifications</h3><p></p><p><strong>Must-Have</strong></p><ul>
<li><strong><strong>2+ years</strong> of professional <strong>data engineering</strong> experience.</strong></li>
<li><strong>Experience building <strong>ETL pipelines</strong>, <strong>data warehouses</strong>, <strong>analytics platforms</strong>, or <strong>distributed data systems</strong>.</strong></li>
<li><strong>Regular use of <strong>AI coding agents</strong> such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.</strong></li>
<li><strong>Ability to evaluate model-generated data infrastructure and pipeline implementations.</strong></li>
</ul><h3><strong>Preferred</strong></h3><ul><li><strong>Experience operating large-scale data platforms.</strong></li></ul><h3><strong>Compensation & Legal</strong></h3><ul>
<li><strong><strong>$400 per accepted task</strong>.</strong></li>
<li><strong>Compensation is tied to accepted work.</strong></li>
</ul><h3><strong>Application Process (Takes 20–30 mins to complete)</strong></h3><ul>
<li><strong>Upload resume</strong></li>
<li><strong>AI interview based on your resume</strong></li>
<li><strong>Submit form</strong></li>
</ul><h3><strong>Resources & Support</strong></h3><ul>
<li><strong>For details about the interview process and platform information, please check: </strong></li>
<li><strong>For any help or support, reach out to: </strong></li>
</ul><p><strong><em>PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.</em></strong></p><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>