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Remote Creative Science Jobs in California (NOW HIRING)

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

... creative, and continually-evolving environment without sacrificing technical excellence. Our ... Department Data Science Role Tennis Team Locations San Francisco, CA - Remote Remote status Fully ...

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Remote Creative Science information

What is the difference between Remote Creative Science vs Remote Data Scientist?

AspectRemote Creative ScienceRemote Data Scientist
Required CredentialsDegree in science, creative arts, or related fields; knowledge of scientific methods and creative toolsDegree in computer science, statistics, or related fields; proficiency in programming and data analysis
Work EnvironmentCollaborative, often interdisciplinary teams; creative and scientific settingsAnalytical, data-driven environment; often tech or research companies
Industry UsageResearch institutions, creative agencies, science communicationTech companies, research firms, analytics departments
Common Search/ComparisonRemote Creative Science vs Remote Data Scientist

Remote Creative Science combines scientific knowledge with creative problem-solving, often in interdisciplinary settings. Remote Data Scientists focus on analyzing data using technical skills. While both roles require analytical thinking, Creative Science emphasizes creativity and communication, whereas Data Science centers on technical data analysis and modeling.

What are the most commonly searched types of Creative Science jobs in California?

The most popular types of Creative Science jobs in California are:

What are popular job titles related to Remote Creative Science jobs in California?

For Remote Creative Science jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Remote Creative Science jobs?

Cities in California with the most Remote Creative Science job openings:

Structural Engineering Specialist - Fully Remote | Upto $85/hr

Mercor

San Francisco, CA • Remote

$85/hr

Full-time

Posted 5 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: Computational Structural & Mechanical Engineering Expert
Type: Contract
Compensation: $70–$85/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems to test AI capabilities in solving scientific and engineering tasks.
  • Develop problems requiring skilled use of open-source, domain-specific computational tools like FEniCSx/DOLFINx, OpenFOAM, deal.II, and others.
  • Evaluate AI models by testing them against state-of-the-art benchmarks and refine problems to achieve the desired difficulty.
  • Collaborate with AI research teams to improve problem designs and ensure they test strategic reasoning and problem-solving.
  • Work independently and asynchronously to meet deadlines and refine problem designs based on feedback.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
  • Proven proficiency with at least one of the listed scientific software libraries through research publications, open-source contributions, or professional work.
  • Strong Python skills for writing problem setups, oracle functions, and solution validators.
  • Ability to work independently and refine problem designs based on feedback.
  • Comfortable working in a Linux/terminal environment with remote compute sandboxes.

Preferred

  • Experience across multiple listed 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.

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.