Applied Mathematics Specialist - Fully Remote | Upto $90/hr
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：计算统计和应用数学专家 （R, Python 和 Matlab/Scilab）类型：合同补偿：$70$90/小时 地点：远程承诺：1520小时/周角色责任 ·使用专门的统计，数学或科学软件包设计具有挑战性的计算机问题。·评估 AI 计算可复制数值答案并执行复杂的工作流程的能力。· 开发需要战略规划的问题，以发现信息和有效解决问题的。· 测试并与最先进的人工智能模型进行改进，以实现目标难度。· 在基于反的基础上独立和异步地改进问题设计。必须有资格。· 在统计学，应用数学或相关 STEM 领域获得研究生级培训。·通过研究出版物或专业工作证明至少有一套专门软件包的能力。· 编写 Python 问题设置和解决方案验证器的强大技能。· 在远程计算沙盒的 Linux/终端环境中独立工作能力。· 具有每周至少1520小时的可用性。优先 • 在多个计算领域或专业软件包中经验 · 对基准或评估设计熟悉 · 科学教学或考试/问题设置设计背景 · 数据复制性和容器环境方面的经验。申请过程 （需要2030分钟才能完成）· 上传简历 ·基于简历的人工智能面试 ·提交表资源 & 支持 · 请查看：· 关于面试进程和平台信息的详细信息，请联系 PS:我们的团队每天审查应用程序。你可以完成 AI 面试和申请步骤，以便考虑这个机会。
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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: Computational Statistics and Applied Mathematics Expert (R, Python, and Matlab/Scilab)
Type:Contract
Compensation:$70–$90/hour
Location:Remote
Commitment:15–20 hours/week
Role Responsibilities
- Design challenging computational problems using specialized statistical, mathematical, or scientific software packages.
- Evaluate AI's ability to compute reproducible numerical answers and carry out complex workflows.
- Develop problems requiring strategic planning for information discovery and efficient problem-solving.
- Test and refine problems against state-of-the-art AI models to achieve target difficulty.
- Work independently and asynchronously to refine problem designs based on feedback.
Qualifications
Must-Have
- Graduate-level training in statistics, applied mathematics, or a relevant STEM field.
- Proven proficiency with at least one specialized software package through research publications or professional work.
- Strong Python skills for writing problem setups and solution validators.
- Ability to work independently in a Linux/terminal environment with remote compute sandboxes.
- Available for at least 15–20 hours per week.
Preferred
- Experience across multiple computational domains or specialized software packages.
- 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