Mechanical Engineer - Fully Remote | Upto $100/hr
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: STEM Computational Scientific Software & Evaluation Design - Structural & Mechanical Engineering
Type:Contract
Compensation:$70–$100/hour
Location:Remote
Commitment:15–20 hours/week
Role Responsibilities
- Design graduate-level computational problems using domain-specific scientific software libraries.
- Develop problems requiring strategic reasoning to uncover hidden information through queries or experiments.
- Calibrate tasks against state-of-the-art AI models and refine designs to achieve target difficulty.
- Utilize scikit-fem or similar finite element libraries for tasks in Structural & Mechanical Engineering.
- Work independently in a Linux/terminal environment with remote compute sandboxes.
- Collaborate asynchronously to improve AI model performance and problem-solving strategies.
Qualifications
Must-Have
- Graduate-level training in a relevant STEM domain (MS, PhD, or equivalent research experience).
- Proficiency with at least one listed scientific software library.
- Strong Python programming skills.
- Ability to work independently and iterate on problem designs.
- Comfortable in a Linux/terminal environment.
Preferred
- Experience across multiple listed domains or tools.
- Familiarity with benchmark or evaluation design.
- Background in scientific pedagogy 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: https://talent.docs.mercor.com/welcome
- For any help or support, reach out to: [email protected]
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Apply To this 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: STEM Computational Scientific Software & Evaluation Design - Structural & Mechanical Engineering
Type:Contract
Compensation:$70–$100/hour
Location:Remote
Commitment:15–20 hours/week
Role Responsibilities
- Design graduate-level computational problems using domain-specific scientific software libraries.
- Develop problems requiring strategic reasoning to uncover hidden information through queries or experiments.
- Calibrate tasks against state-of-the-art AI models and refine designs to achieve target difficulty.
- Utilize scikit-fem or similar finite element libraries for tasks in Structural & Mechanical Engineering.
- Work independently in a Linux/terminal environment with remote compute sandboxes.
- Collaborate asynchronously to improve AI model performance and problem-solving strategies.
Qualifications
Must-Have
- Graduate-level training in a relevant STEM domain (MS, PhD, or equivalent research experience).
- Proficiency with at least one listed scientific software library.
- Strong Python programming skills.
- Ability to work independently and iterate on problem designs.
- Comfortable in a Linux/terminal environment.
Preferred
- Experience across multiple listed domains or tools.
- Familiarity with benchmark or evaluation design.
- Background in scientific pedagogy 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: https://talent.docs.mercor.com/welcome
- For any help or support, reach out to: [email protected]
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Apply To this Job