Logo for Mercor

Data Engineer - AI Coding Expert - AI Trainer

Roles & Responsibilities

  • 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

Requirements:

  • 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

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 20โ€“30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • 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.



#hiringmercor

Data Engineer Related jobs

Other jobs at Mercor

We help you get seen. Not ignored.

We help you get seen faster โ€” by the right people.

๐Ÿš€

Auto-Apply

We apply for you โ€” automatically and instantly.

Save time, skip forms, and stay on top of every opportunity. Because you can't get seen if you're not in the race.

โœจ

AI Match Feedback

Know your real match before you apply.

Get a detailed AI assessment of your profile against each job posting. Because getting seen starts with passing the filters.

Upgrade to Premium. Apply smarter and get noticed.

Upgrade to Premium

Join thousands of professionals who got noticed and hired faster.