Remote AI Data Engineer: Model Eval & ETL

mercor; San Francisco (CA); Hybrid; GBP 83,000 - 94,000; Full time

Job summary

Mercor is seeking a Data Engineer (Coding Agent Experience) for a remote, contract role. You will work with frontier AI coding agents to design, implement, and evaluate data infrastructure solutions across ETL pipelines, warehouses, and analytics platforms.

The role emphasizes evaluating model outputs, identifying edge cases, and applying professional engineering judgment in distributed systems. Prior experience with AI coding agents is required.

Qualifications

• 2+ years of professional data engineering experience.
• Experience building ETL pipelines, data warehouses, or distributed data systems.
• Regular use of AI coding agents (Cursor, Claude Code, Codex, Windsurf, Gemini CLI).
• Ability to evaluate model-generated data infrastructure and pipelines.

Responsibilities

• Use frontier AI coding agents to complete and evaluate complex tasks.
• Review model-generated implementations of 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 strengths and weaknesses.
• Apply professional engineering judgment to realistic data engineering scenarios.

Skills

Data engineering

ETL pipelines

AI coding agents

Model evaluation

Tools

Cursor

Claude Code

Codex

Windsurf

Gemini CLI

Job description

Mercor is seeking a Data Engineer (Coding Agent Experience) for a remote, contract role. You will work with frontier AI coding agents to design, implement, and evaluate data infrastructure solutions across ETL pipelines, warehouses, and analytics platforms.

The role emphasizes evaluating model outputs, identifying edge cases, and applying professional engineering judgment in distributed systems. Prior experience with AI coding agents is required.