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What is a computational designer?

Computational designers are professionals who use computer-based tools, algorithms, and programming to create, analyze, and optimize designs, often in fields such as architecture, engineering, and product development. They use software and scripting languages to automate repetitive tasks, generate complex geometries, and simulate real-world performance. Working remotely, computational designers collaborate online with teams to solve design challenges, streamline workflows, and create innovative solutions. Their expertise bridges the gap between design creativity and technical efficiency, making them valuable assets in technology-driven industries.

How does a remote computational designer typically collaborate with multidisciplinary teams on projects?

Remote Computational Designers frequently work with architects, engineers, and software developers to create data-driven design solutions. Collaboration often happens through virtual meetings, shared digital workspaces, and version-controlled repositories for scripts and models. Clear communication and regular updates are essential to align on project goals and integrate computational tools smoothly into the design process. Leveraging collaborative platforms like Slack, Miro, or BIM 360 helps ensure effective teamwork and timely feedback, even when team members are in different locations.

What are the key skills and qualifications needed to thrive as a computational designer in a remote setting, and why are they important?

To thrive as a Computational Designer remotely, you need expertise in computational design principles, proficiency in parametric modeling, and a background in architecture, engineering, or a related field. Familiarity with tools like Grasshopper, Rhino, Python, and BIM software, as well as experience with cloud-based collaboration platforms, is typically required. Strong problem-solving, self-motivation, and clear communication skills help you excel in distributed teams and convey complex ideas effectively. These competencies are crucial for delivering innovative, efficient design solutions and maintaining productivity in a remote work environment.

What are the most commonly searched types of Computational Designer jobs in Florida?

The most popular types of Computational Designer jobs in Florida are:

What are popular job titles related to Computational Designer Remote jobs in Florida?

For Computational Designer Remote jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Computational Designer Remote jobs in Florida look for?

The top searched job categories for Computational Designer Remote jobs in Florida are:

What cities in Florida are hiring for Computational Designer Remote jobs?

Cities in Florida with the most Computational Designer Remote job openings:

Computational Designer Remote jobs near you

Mathematics PhD - AI Evaluation Expert - AI Trainer

Mercor

Miami, FL • Remote

$70/hr

Full-time

This job post has expired today. Applications are no longer accepted.

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: Mathematics PhD Coding Experts
Type: Contract
Compensation: $70/hour
Location: Remote
Duration: 6 weeks
Commitment: 20+ hours/week

Role Responsibilities

  • Source material from published papers, Kaggle datasets, open-source repositories, or self-designed scenarios.
  • Write scientific prompts based on sourced inputs.
  • Build grading criteria to define correct answers.
  • Calibrate tasks against frontier models, ensuring tasks ship only when strong models fail more often than succeed.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

  • PhD in mathematics, applied mathematics, computational mathematics, or a closely related field.
  • Depth in at least two subdomains: numerical linear algebra, computational mechanics, computational finance.
  • Working proficiency in Python for scientific computing.
  • Comfortable with Git/GitHub and running code in Docker.

Preferred

  • Publications in peer-reviewed journals.
  • Prior scientific software or research engineering experience.

Start Date

  • Immediate

Interview Process

  • Upload your resume and application form.
  • A 25-minute conversational interview covering your background, experience, and motivations.
  • Follow up within a few days with next steps and onboarding.

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.


#hiringmercor