[Remote] Data Engineer - AI Model Evaluation
Note: The job is a remote job and is open to candidates in USA. Mercor connects elite creative and technical talent with leading AI research labs and is headquartered in San Francisco. The company is seeking a Data Engineer with coding agent experience to complete and evaluate complex data engineering tasks, review model-generated implementations, identify issues, compare frontier model outputs, and apply engineering judgment to realistic data infrastructure scenarios.
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
Skills
- • 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
- • Experience operating large-scale data platforms
Benefits
- Remote work
Company Overview
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