Data Engineer - AI Model Evaluator

mercor; United States; A distancia; USD 94.000 - 127.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health benefits

Descripción de la vacante

Mercor is hiring a Data Engineer (Coding Agent Experience) to tackle data engineering challenges using frontier AI coding agents. Remote work option available, with compensation tied to task acceptance.

You will build and review ETL pipelines, data warehouses, analytics platforms, and distributed data systems, applying engineering judgment to real-world data problems and model-generated outputs. Collaborate with cross-functional teams to ensure scalable, robust data architectures.

Formación

• 2+ years of professional data engineering experience.
• Experience building ETL pipelines, data warehouses, or distributed data systems.
• Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, or Gemini CLI.
• Ability to evaluate model-generated data infrastructure and pipelines.

Responsabilidades

• Use frontier AI coding agents to complete and evaluate complex data engineering tasks.
• Review model-generated implementations for 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.

Conocimientos

Data engineering

ETL pipelines

Distributed data systems

AI coding agents

Data infrastructure evaluation

Descripción del empleo

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.

Originally posted on Himalayas