Role OverviewAs a Data Engineer, you will use frontier AI coding agents to complete and evaluate complex data engineering tasks, review model-generated implementations, and apply professional engineering judgment to realistic data engineering scenarios.
What You Will Do
Your main responsibilities will include identifying bugs, edge cases, scalability issues, and failure modes in model outputs, comparing outputs from multiple frontier models, and assessing their strengths and weaknesses.
Why It Might Be a Fit
We are looking for candidates with 2+ years of professional data engineering experience, experience building ETL pipelines, data warehouses, analytics platforms, or distributed data systems, and regular use of AI coding agents.
Requirements
- 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
Benefits
- $400 per accepted task
- Compensation is tied to accepted work
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