Data Engineer - AI Model Evaluator
关于工作的职位，默科尔将精英创意和技术人才与领先的人工智能研究实验室联系起来。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 （编码代理经验）类型：合同赔偿：80美元/小时 地点：远程角色责任 · 使用边缘人工智能编码代理完成并评估复杂的数据工程任务。·审查涉及 ETL 管道，数据仓库，分析平台和分布式数据系统的模型生成实现。·识别错误，边缘情况，可扩展性问题以及模式输出故障模式。· 比较多个边界模型的输出，评估其优势和缺点。· 将专业工程判断应用于现实数据工程场景。资格必须有2年以上专业数据工程经验。· 建立 ETL 管道，数据仓库，分析平台或分布式数据系统的经验。•定期使用 AI 编码代理人如 Cursor,Claude Code,Codex,Windsurf,Gemini CLI 等工具。· 能够评估模型生成的数据基础设施和管道实现。首选 ·经验运营大规模数据平台。补偿与法律 ·每项接受任务400美元。· 薪酬与接受的工作相关。申请过程 （需要20~30分钟才能完成）· 上传简历 · AI 面试根据你的简历 ·提交表格资源和支持 · 请查看有关面试进程和平台信息的详细信息：· 任何帮助或支持，请联系：PS:我们的团队每天审查应用程序。请完成你的 AI 面试和申请步骤以考虑这个机会。最初发布在喜马拉雅山
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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