data engineer
Title posted on Talent.com - Data Engineer - AI Model Evaluator
Posted on October 20, 2026 by Employer details Mercor
Job details
<p><strong>About the job</strong></p> <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> <p><strong>Role Responsibilities</strong></p> <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> <p><strong>Qualifications</strong></p> <p><strong>Must-Have</strong></p> <ul> <li><strong>2+ years</strong> of professional <strong>data engineering</strong> experience.</li> <li>Experience building <strong>ETL pipelines</strong>, <strong>data warehouses</strong>, <strong>analytics platforms</strong>, or <strong>distributed data systems</strong>.</li> <li>Regular use of <strong>AI coding agents</strong> such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.</li> <li>Ability to evaluate model-generated data infrastructure and pipeline implementations.</li> </ul> <p><strong>Preferred</strong></p> <ul> <li>Experience operating large-scale <strong>data platforms</strong>.</li> </ul> <p><strong>Compensation & Legal</strong></p> <ul> <li><strong>$400 per accepted task</strong>.</li> <li>Compensation is tied to accepted work.</li> </ul> <p><strong>Application Process (Takes 20?30 mins to complete)</strong></p> <ul> <li>Upload resume</li> <li>AI interview based on your resume</li> <li>Submit form</li> </ul> <p><strong>Resources & Support</strong></p> <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</li> </ul> <p><em>PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.</em></p>- Location Toronto, ON
- Work location On site
- Salary$80.00HOUR hourly
- Terms of employment Part time
- Starts as soon as possible
- vacancies 1 vacancy
- Source Talent.com #633863852222448129
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