Data Engineer - AI Model Evaluator - AI Trainer

mercor; United States; Remote; USD 96,000 - 131,000; Full time

Job summary

Mercor is hiring a Data Engineer (Coding Agent Experience) for a remote contract position. You will work with frontier AI coding agents to implement and evaluate data engineering tasks, focusing on ETL pipelines and distributed data systems.

Your work includes reviewing model-generated code and ensuring reliability and scalability across data platforms. The role requires 2+ years in data engineering, experience with data warehouses, ETL pipelines, and a track record using AI coding agents like

Qualifications

• 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.

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.

Skills

Data engineering

ETL pipelines

Data warehouses

Analytics platforms

Distributed data

AI coding agents

Tools

Cursor

Claude Code

Codex

Windsurf

Gemini CLI

Job description

About the job

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

Position Details

Position: Data Engineer (Coding Agent Experience)

Type: Contract

Compensation: $80/hour

Location: Remote

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

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