AI Summary
Mercor is seeking a Data Engineer to work with frontier AI coding agents. The role involves completing and evaluating complex data engineering tasks. The ideal candidate has 2+ years of professional data engineering experience and experience with AI coding agents.
Key Highlights
Frontier AI coding agents
Complex data engineering tasks
Contract position
Key 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
Technical Skills Required
Benefits & Perks
$80/hour compensation
Remote work
$400 per accepted task
Nice to Have
Experience operating large-scale data platforms
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.
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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.
- Experience operating large-scale data platforms.
- $400 per accepted task.
- Compensation is tied to accepted work.
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- Upload resume
- AI interview based on your resume
- Submit form
- 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
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