Data Engineer - AI Model Evaluation

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Data Engineer (Coding Agent Experience) Type: Contract Compensation: $80/hour Location: Remote Role Responsibilities - Use frontier AI coding agents to complete and evaluate complex data engineering tasks. - Review model-generated implementations involving ETL pipelines , data warehouses , analytics platforms , and distributed data systems . - Identify bugs, edge cases, scalability issues, and failure modes in model outputs. - Compare outputs from multiple frontier models and assess their strengths and weaknesses. - Apply professional engineering judgment to realistic data engineering scenarios. Qualifications Must-Have - 2+ years of professional data engineering experience. - Experience building ETL pipelines , data warehouses , analytics platforms , or distributed data systems . - Regular use of AI coding agents such as Cursor , Claude Code , Codex , Windsurf , Gemini CLI , or similar tools. - Ability to evaluate model-generated data infrastructure and pipeline implementations. Preferred - Experience operating large-scale data platforms . Compensation & Legal - $400 per accepted task . - Compensation is tied to accepted work. Application Process (Takes 20–30 mins to complete) - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: - For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. Originally posted on Himalayas