Frontier AI Data Engineer: Model Evaluation & Pipelines

Obsidian; Philadelphia (Philadelphia County); On-site; USD 455,000 - 647,000; Full time

Job summary

Mercor collaborates with a leading AI research lab on a Frontier Code Agents project, focusing on evaluating frontier AI coding models through realistic data engineering workflows and model assessments.

Contributors help identify bugs, edge cases, and scalability issues while comparing outputs across frontier models to gauge strengths and weaknesses. Tasks are sprint-based with rapid ramp-up and paid per accepted task.

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

Distributed data systems

AI coding agents

Data warehouses

Tools

Cursor

Claude Code

Codex

Windsurf

Gemini CLI

Job description

Mercor collaborates with a leading AI research lab on a Frontier Code Agents project, focusing on evaluating frontier AI coding models through realistic data engineering workflows and model assessments.

Contributors help identify bugs, edge cases, and scalability issues while comparing outputs across frontier models to gauge strengths and weaknesses. Tasks are sprint-based with rapid ramp-up and paid per accepted task.