- 经验
- 2年以上
- 薪水
- USD 80 – USD 80 / hour
- 职位空缺
- 1
- 发布
- 10小时前
- 工作模式
- 在办公室
- 恢复
- 需要申请
你的工作地点
职位描述
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.