Data Engineer - AI Model Evaluation

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 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
• ▹Ability to evaluate model-generated data infrastructure and pipeline implementations

Nice to have

• ▹Experience operating large-scale data platforms

Soft skills

What we offer

• ▹$80/hour
• ▹$400 per accepted task
• ▹Fully remote

About the company

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, its investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers and Jack Dorsey.