电气工程师 - 全程远程 | 每小时最高100美元
Electrical Engineer - Fully Remote | Upto $100/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，我们的投资者包括 Benchmark、General Catalyst、Peter Thiel、Adam D'Angelo、Larry Summers 和 Jack Dorsey。
职位：电子工程与射频/电路设计专家
类型：合同制
薪酬：70–100美元/小时
地点：远程
投入时间：每周15–20小时
岗位职责
- 使用真实的科学软件设计具有挑战性的计算问题，以测试 AI 系统。
- 开发需要熟练使用专业科学软件（如 scikit-rf 和 ngspice）的问题。
- 通过与最先进 AI 模型的测试循环来评估和优化问题。
- 创建需要战略规划和高效查询或实验执行的问题。
- 独立工作，根据反馈完善问题设计。
- 异步协作，确保工作时间灵活并按时完成任务。
资格要求
必须具备
- 相关 STEM 领域的研究生水平培训（硕士、博士或同等研究经验）。
- 通过研究论文、开源贡献或专业工作证明在科学软件库方面的熟练技能。
- 强大的 Python 技能，用于编写问题设置、Oracle 函数和解决方案验证器。
- 能够在 Linux/终端环境中工作，并使用远程计算沙箱。
- 每周至少有15–20小时可用。
优先考虑
- 在多个列出的领域或工具中有经验。
- 熟悉基准测试或评估设计。
- 具有科学教学或考试/题集设计背景。
- 具有计算可重复性和容器化环境的经验。
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信息，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，以便考虑此机会。
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: Electrical Engineering & RF/Circuit Design Expert
Type:Contract
Compensation:$70–$100/hour
Location:Remote
Commitment:15–20 hours/week
Role Responsibilities
- Design challenging computational problems to test AI systems using real scientific software.
- Develop problems requiring skilled use of specialized scientific software like scikit-rf and ngspice.
- Evaluate and refine problems through testing loops against state-of-the-art AI models.
- Create problems that require strategic planning and efficient query or experiment execution.
- Work independently to refine problem designs based on feedback.
- Collaborate asynchronously, ensuring flexibility in hours and meeting deadlines.
Qualifications
Must-Have
- Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
- Proven proficiency with scientific software libraries through research publications, open-source contributions, or professional work.
- Strong Python skills for writing problem setups, oracle functions, and solution validators.
- Ability to work in a Linux/terminal environment with remote compute sandboxes.
- Available for at least 15–20 hours per week.
Preferred
- Experience across multiple listed domains or tools.
- Familiarity with benchmark or evaluation design.
- Background in scientific teaching or exam/problem-set design.
- Experience with computational reproducibility and containerized environments.
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