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Remote Computational Design information

How do remote computational designers typically collaborate with multidisciplinary teams to ensure project success?

Remote computational designers often work closely with architects, engineers, and software developers through digital collaboration tools such as BIM platforms, cloud-based modeling software, and video conferencing. Regular virtual meetings, shared digital workspaces, and clear documentation help maintain effective communication and project alignment. To overcome challenges posed by physical distance, it's important for remote designers to be proactive in updates, responsive to feedback, and adaptable to different time zones. This collaborative approach ensures that design intents are accurately translated into computational models and that all team members stay informed throughout the project lifecycle.

What are the key skills and qualifications needed to thrive as a Remote Computational Designer, and why are they important?

To thrive as a Remote Computational Designer, you need expertise in computational geometry, algorithm development, and digital modeling, usually backed by a degree in architecture, engineering, or a related field. Proficiency with tools such as Grasshopper, Rhino, Dynamo, and programming languages like Python or C# is essential, along with familiarity with collaboration platforms. Strong problem-solving, communication, and self-management skills help you excel in remote settings and interdisciplinary teams. These skills are crucial for creating innovative design solutions, efficiently collaborating across distances, and meeting complex project requirements.

What is remote computational design?

Remote computational design refers to the use of algorithms, programming, and digital tools to create and optimize design solutions while working from a location outside of a traditional office. Professionals in this field leverage software like Grasshopper, Rhino, or Autodesk Dynamo to automate and enhance the design process for architecture, engineering, or product development. Working remotely, these designers collaborate with teams and clients through digital communication platforms, enabling flexibility and global cooperation.
What are popular job titles related to Remote Computational Design jobs in Michigan? For Remote Computational Design jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Computational Design jobs in Michigan look for? The top searched job categories for Remote Computational Design jobs in Michigan are:
What cities in Michigan are hiring for Remote Computational Design jobs? Cities in Michigan with the most Remote Computational Design job openings:
Remote Computational Design jobs near you
Structural Engineer - Computational Mechanics - AI Trainer

Structural Engineer - Computational Mechanics - AI Trainer

Mercor

Detroit, MI • On-site, Remote

$70 - $100/hr

Full-time

Posted 12 days ago

Job description

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: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


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