Data Engineer - AI Coding Expert - AI Trainer

mercor; United States; Remote; USD 110.000 - 138.000; Teilzeit

Zusammenfassung

Mercor connects elite creative and technical talent with leading AI research labs. Mercor is seeking a Data Engineer (Coding Agent Experience) for remote contract work, offering $80/hour with compensation tied to accepted tasks.

You will leverage frontier AI coding agents to design, implement, and evaluate data infrastructure and pipelines across ETL, warehouses and analytics platforms. The role emphasizes testing model outputs, identifying edge cases, and applying engineering judgment to

Qualifikationen

• 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.

Aufgaben

• Use frontier AI coding agents to complete and evaluate data tasks.
• Review model-generated ETL, data warehouse, analytics pipelines outputs.
• Identify bugs, edge cases, scalability issues, and failure modes in model outputs.
• Compare outputs from multiple frontier models and assess strengths and weaknesses.
• Apply professional engineering judgment to real data engineering scenarios.

Kenntnisse

Data Engineering

ETL Pipelines

AI Coding Tools

Model Evaluation

Tools

Cursor

Claude Code

Codex

Windsurf

Gemini CLI

Jobbeschreibung

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.