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