Role overview

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

Key facts

Remote from: Pennsylvania (USA)
Part time
Data Engineer
English

Hard skills

Data Engineering Data Infrastructure Distributed Data Store Engineering Ethics

About the company

Mercor

Company details

Links

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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: 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.

Application Process (Takes 20–30 mins to complete)

Upload resume
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Submit form

Resources & Support

For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
For any help or support, reach out to: support@mercor.com

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

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