Remote Data Engineer - AI Model Evaluation & ETL

Mercor

San Francisco (CA)

Hybrid

GBP 68,000 - 97,000

Full time

22 hours ago
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Job summary

Mercor is hiring a Data Engineer (Coding Agent Experience) for a remote contract role. The job focuses on using frontier AI coding agents to perform and assess data engineering tasks, including ETL pipelines, data warehouses, analytics platforms, and distributed data systems.

Ideal candidates have 2+ years in data engineering and hands-on experience with AI coding agents like Cursor, Claude Code, Codex, Windsurf, or Gemini CLI, along with a track record of evaluating model-generated data

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 (Cursor, Claude Code, Codex, Windsurf, Gemini CLI).
  • 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
AI coding agents
Model evaluation

Job description

Mercor is hiring a Data Engineer (Coding Agent Experience) for a remote contract role. The job focuses on using frontier AI coding agents to perform and assess data engineering tasks, including ETL pipelines, data warehouses, analytics platforms, and distributed data systems.

Ideal candidates have 2+ years in data engineering and hands-on experience with AI coding agents like Cursor, Claude Code, Codex, Windsurf, or Gemini CLI, along with a track record of evaluating model-generated data

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