数据工程师 - 全程远程 | 最高80美元/小时
Data Engineer - Fully Remote | Upto $80/hr
关于职位
Mercor将顶尖的创意和技术人才与领先的AI研究实验室联系起来。公司总部位于旧金山，我们的投资者包括Benchmark、General Catalyst、Peter Thiel、Adam D'Angelo、Larry Summers和Jack Dorsey。
职位：数据工程师（编码代理体验）
类型：合同工
薪酬：80美元/小时
地点：远程
岗位职责
- 使用前沿AI编码代理完成并评估复杂的数据工程任务。
- 审查涉及ETL流程、数据仓库、分析平台和分布式数据系统的模型生成实现。
- 识别模型输出中的错误、边缘情况、可扩展性问题和故障模式。
- 比较多个前沿模型的输出并评估它们的优缺点。
- 在真实的数据工程场景中应用专业的工程判断。
资格要求
必须具备
- 2年以上专业数据工程经验。
- 有构建ETL流程、数据仓库、分析平台或分布式数据系统的经验。
- 熟练使用AI编码代理工具，如Cursor、Claude Code、Codex、Windsurf、Gemini CLI或其他类似工具。
- 能够评估模型生成的数据基础设施和流程实现。
优先考虑
- 有操作大规模数据平台的经验。
- 薪酬与法律
- 每个被接受的任务支付400美元。
- 薪酬与被接受的工作相关。
申请流程（需要20-30分钟完成）
- 上传简历
- 基于简历的AI面试
- 提交表单
资源与支持
- 关于面试流程和平台信息的详细内容，请查看：
- 如有任何帮助或支持，请联系：
备注：我们的团队每天都会审核申请。请完成AI面试和申请步骤，以考虑此机会。
最初发布于Himalayas
查看英文原文
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.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check:
- For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas