后端开发工程师 - 全程远程 | 最高 85 美元/小时
Backend Developer - Fully Remote | Upto $85/hr
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，我们的投资方包括Benchmark、General Catalyst、Peter Thiel、Adam D'Angelo、Larry Summers和Jack Dorsey。
职位：后端工程师（编码代理体验）
类型：合同工
薪资：85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工程任务。
- 审查模型生成的代码，确保其正确性、质量、可维护性和性能。
- 识别模型输出中的错误、边界情况和故障模式。
- 对比多个前沿模型的输出，评估它们的优缺点。
- 在实际的后端工程场景中应用专业的工程判断。
- 独立且异步地工作，以满足截止日期的同时提升AI模型性能。
任职要求
必须具备
- 2年以上专业后端工程经验。
- 具有构建API、分布式系统、微服务、后端平台或数据库的经验。
- 经常使用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代码，识别错误、边界情况和架构权衡。
优先考虑
- 具有在大规模生产系统上工作的经验。
- 薪资与法律
- 每个被接受的任务支付400美元。
- 典型任务在熟悉流程后需要约1–3小时。
- 没有固定任务限制。
- 薪资与被接受的工作量挂钩。
- 申请流程（需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
- 有关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需求，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，以获得此次机会的考虑。
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: Backend Engineer (Coding Agent Experience)
Type:Contract
Compensation:$85/hour
Location:Remote
Role Responsibilities
- Use frontier AI coding agents to complete and evaluate complex engineering tasks.
- Review model-generated code for correctness, quality, maintainability, and performance.
- Identify bugs, edge cases, and failure modes in model outputs.
- Compare outputs from multiple frontier models and assess their strengths and weaknesses.
- Apply professional engineering judgment to realistic backend engineering scenarios.
- Work independently and asynchronously to meet deadlines while improving AI model performance.
Qualifications
Must-Have
- 2+ years of professional backend engineering experience.
- Experience building APIs, distributed systems, microservices, backend platforms, or databases.
- Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
- Ability to evaluate model-generated code and identify bugs, edge cases, and architectural tradeoffs.
Preferred
· Experience working on large-scale production systems.
Compensation & Legal
- $400 per accepted task.
- Typical tasks take approximately 1–3 hours after ramp-up.
- No fixed task limits.
- 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