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Role Overview

As a Data Engineer working with advanced AI coding agents, you will contribute to the assessment and enhancement of leading-edge AI models tailored for data engineering tasks. Your efforts will focus on authentic data engineering workflows and evaluating model outputs to drive improvements.

Key Responsibilities

Utilize frontier AI coding agents to execute and assess complex data engineering assignments.
Analyze implementations generated by AI models involving ETL pipelines, data warehouses, analytics platforms, and distributed data infrastructures.
Detect and report bugs, edge cases, scalability challenges, and failure scenarios.
Contrast the outputs produced by multiple frontier AI models to determine their advantages and limitations.
Apply professional engineering expertise to practical data engineering situations.

Project Structure and Time Commitment

This is a sprint-style engagement where project tasks occur in concentrated 12-24 hour intervals, responding to client needs.

Candidate Profile

Minimum two years of hands-on professional experience in data engineering.
Proven skills in constructing ETL pipelines, managing data warehouses, developing analytics platforms, or working with distributed data systems.
Regular interaction with AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or comparable tools.
Capability to critically review AI-generated data infrastructure and pipeline implementations.
Background in operating extensive data platforms is advantageous.

Compensation

A payment of $400 is provided for each accepted task.
Most tasks require approximately 2-3 hours after an initial familiarization period.
Payment is based solely on completed and approved work.

Data Engineer (Coding Agent Experience)

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