Remote Data Engineer for Frontier AI Coding Projects

Obsidian

New York (NY)

Remote

Full time

14 days+

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Job summary

Obsidian is seeking a data engineering contractor to work with Mercor on frontier AI coding agents. You will tackle realistic data engineering tasks, review model-generated implementations, and help evaluate edge cases.

You will operate in sprint-based cycles, with typical tasks taking 2–3 hours after ramp-up and compensation provided per accepted task. This role is on-site in New York, with flexible collaboration on frontier AI workflows.

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.
  • Experience operating large-scale data platforms is preferred.

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.
  • 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 systems

Tools

Cursor
Claude Code
Codex
Windsurf
Gemini CLI

Job description

Obsidian is seeking a data engineering contractor to work with Mercor on frontier AI coding agents. You will tackle realistic data engineering tasks, review model-generated implementations, and help evaluate edge cases.

You will operate in sprint-based cycles, with typical tasks taking 2–3 hours after ramp-up and compensation provided per accepted task. This role is on-site in New York, with flexible collaboration on frontier AI workflows.

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