Data Engineer

Data Engineer (Coding Agent Experience) [$80/hr]

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 serve basis

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

Time Commitment

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

Good Candidature

• 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

Compensation

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