Data Engineer

About the role

Contributors help evaluate and improve frontier AI coding models through structured technical assessments. The work focuses on realistic data engineering workflows and model evaluation. Spots are limited and filling quickly on a first-come, first-served basis.

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
• Compare outputs from multiple frontier models and assess their strengths and weaknesses
• Apply professional engineering judgment to realistic data engineering scenarios

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
• Experience operating large-scale data platforms is preferred

Pay

$400 per accepted task. Typical tasks take approximately 2-3 hours after ramp-up. Compensation is tied to accepted work.

Schedule

Sprint-based project that runs in 12-24 hour stretches based on client requirements.