Applied Mathematics Specialist - Fully Remote | Upto 00/hr
Other
WFA Digital Insight
The demand for specialized mathematical expertise in AI research has surged, with a 25% increase in job postings over the past year. As companies like mercor drive innovation in computational Bayesian statistics, skilled professionals with a strong foundation in STEM fields are in high demand. With the remote work landscape evolving, opportunities for contract work with leading AI research labs are on the rise. Candidates should be prepared to showcase their proficiency in scientific software libraries and strong Python skills to stand out in this competitive field.
Job Description
About the Role
As an Applied Mathematics Specialist, you will play a crucial role in designing challenging computational problems to test the capabilities of AI models in solving complex scientific and engineering tasks. This contract position offers the opportunity to work with leading AI research labs, refining problem designs and collaborating with experts in the field. Your work will be integral to advancing the development of AI models, pushing the boundaries of what is possible in fields such as physics, engineering, and data science.The role is fully remote, requiring a commitment of 15-20 hours per week. You will work independently to enhance problem designs based on feedback and model performance, ensuring that the computational problems you create are both challenging and relevant to real-world applications. Your expertise will be leveraged to develop specialized scientific software for simulations and experiment design, further accelerating the pace of innovation in AI research.
Mercor, headquartered in San Francisco, is at the forefront of connecting elite talent with cutting-edge AI research labs. With a prestigious group of investors, including Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey, mercor is well-positioned to drive advancements in AI and computational mathematics.
What You Will Do
- Design computational problems to test AI capabilities in scientific and engineering tasks
- Develop problems that utilize specialized scientific software for simulations and experiment design
- Refine problems through iterative testing against state-of-the-art AI models
- Collaborate on creating tasks that require strategic thinking and efficient information extraction
- Work independently to enhance problem designs based on feedback and model performance
- Utilize strong Python skills to write problem setups and solution validators
- Leverage at least one scientific software library (e.g., PyMC, FEniCS) for problem development
- Ensure comfort in a Linux/terminal environment with remote compute sandboxes
- Commit to 15-20 hours of work per week
What We Are Looking For
- Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience)
- Proven proficiency with at least one scientific software library
- Strong Python skills for writing problem setups and solution validators
- Ability to work independently and refine problem designs
- Comfort in a Linux/terminal environment with remote compute sandboxes
- Availability for at least 15-20 hours/week
- Excellent problem-solving skills with a strong analytical mindset
- Experience in designing computational problems or a related field
Nice to Have
- Experience across multiple 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
Benefits and Perks
- Competitive hourly rate of $70-00/hour
- Opportunity to work with leading AI research labs and drive innovation in computational mathematics
- Fully remote work arrangement with flexible scheduling
- Access to cutting-edge tools and technologies in AI research
- Professional development opportunities in a rapidly evolving field
- Collaboration with a team of elite talent and experts in AI and computational mathematics
How to Stand Out
- Ensure your resume highlights specific experience with scientific software libraries and strong Python skills.
- Be prepared to provide examples of computational problems you have designed and how you approached their development.
- Familiarize yourself with mercor's work and the AI research labs they collaborate with to demonstrate your interest and knowledge.
- Develop a portfolio or be ready to discuss your experience in designing computational problems or related work.
- During the AI interview, focus on showcasing your problem-solving skills and analytical mindset.
- Prepare questions to ask about the role, such as the typical workflow, collaboration with the team, and opportunities for professional development.
This is a remote position listed on WFA Digital, the platform for professionals who work from anywhere. Browse more remote jobs across all categories.
WFA Digital Insight
The demand for specialized mathematical expertise in AI research has surged, with a 25% increase in job postings over the past year. As companies like mercor drive innovation in computational Bayesian statistics, skilled professionals with a strong foundation in STEM fields are in high demand. With the remote work landscape evolving, opportunities for contract work with leading AI research labs are on the rise. Candidates should be prepared to showcase their proficiency in scientific software libraries and strong Python skills to stand out in this competitive field.
Job Description
About the Role
As an Applied Mathematics Specialist, you will play a crucial role in designing challenging computational problems to test the capabilities of AI models in solving complex scientific and engineering tasks. This contract position offers the opportunity to work with leading AI research labs, refining problem designs and collaborating with experts in the field. Your work will be integral to advancing the development of AI models, pushing the boundaries of what is possible in fields such as physics, engineering, and data science.The role is fully remote, requiring a commitment of 15-20 hours per week. You will work independently to enhance problem designs based on feedback and model performance, ensuring that the computational problems you create are both challenging and relevant to real-world applications. Your expertise will be leveraged to develop specialized scientific software for simulations and experiment design, further accelerating the pace of innovation in AI research.
Mercor, headquartered in San Francisco, is at the forefront of connecting elite talent with cutting-edge AI research labs. With a prestigious group of investors, including Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey, mercor is well-positioned to drive advancements in AI and computational mathematics.
What You Will Do
- Design computational problems to test AI capabilities in scientific and engineering tasks
- Develop problems that utilize specialized scientific software for simulations and experiment design
- Refine problems through iterative testing against state-of-the-art AI models
- Collaborate on creating tasks that require strategic thinking and efficient information extraction
- Work independently to enhance problem designs based on feedback and model performance
- Utilize strong Python skills to write problem setups and solution validators
- Leverage at least one scientific software library (e.g., PyMC, FEniCS) for problem development
- Ensure comfort in a Linux/terminal environment with remote compute sandboxes
- Commit to 15-20 hours of work per week
What We Are Looking For
- Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience)
- Proven proficiency with at least one scientific software library
- Strong Python skills for writing problem setups and solution validators
- Ability to work independently and refine problem designs
- Comfort in a Linux/terminal environment with remote compute sandboxes
- Availability for at least 15-20 hours/week
- Excellent problem-solving skills with a strong analytical mindset
- Experience in designing computational problems or a related field
Nice to Have
- Experience across multiple 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
Benefits and Perks
- Competitive hourly rate of $70-00/hour
- Opportunity to work with leading AI research labs and drive innovation in computational mathematics
- Fully remote work arrangement with flexible scheduling
- Access to cutting-edge tools and technologies in AI research
- Professional development opportunities in a rapidly evolving field
- Collaboration with a team of elite talent and experts in AI and computational mathematics
How to Stand Out
- Ensure your resume highlights specific experience with scientific software libraries and strong Python skills.
- Be prepared to provide examples of computational problems you have designed and how you approached their development.
- Familiarize yourself with mercor's work and the AI research labs they collaborate with to demonstrate your interest and knowledge.
- Develop a portfolio or be ready to discuss your experience in designing computational problems or related work.
- During the AI interview, focus on showcasing your problem-solving skills and analytical mindset.
- Prepare questions to ask about the role, such as the typical workflow, collaboration with the team, and opportunities for professional development.
This is a remote position listed on WFA Digital, the platform for professionals who work from anywhere. Browse more remote jobs across all categories.