Data Engineer - AI Model Evaluation (m/f/d)

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

Qualifications

• Must-Have 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.

Preferred Experience operating large-scale data platforms.

Compensation & Legal

$400 per accepted task. Compensation is tied to accepted work.

Resources & Support

For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,