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Remote Computational Engineering Jobs in Mukilteo, WA

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

We may also consider remote candidates in certain states. Responsibilities: * Design, implement ... computational field or equivalent experience. * A minimum of eight (8) years of relevant software ...

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Leverage statistics and computational techniques in problem solving. * Be familiar with common NLP ...

Research Intern

Redmond, WA ยท On-site +1

... engineers. We harness the power of an integrated solution ecosystem-comprising industry-leading ... United States (Redmond, WA, or Palo Alto, CA, or Remote) About Centific Centific is a recognized ...

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Showing results 1-20

Remote Computational Engineering information

See Mukilteo, WA salary details

$54.5K

$136.5K

$154.4K

How much do remote computational engineering jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote computational engineering in Mukilteo, WA is $136,492.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,200.00 and $147,700.00 per year, depending on experience, location, and employer.

What is remote computational engineering?

Remote computational engineering involves using computer-based simulations and modeling tools to solve engineering problems from a remote location, rather than working onsite. Professionals in this field apply advanced mathematics, physics, and programming to design, analyze, and optimize systems or products. They often collaborate with teams virtually and use software to perform tasks such as finite element analysis (FEA), computational fluid dynamics (CFD), or algorithm development. This role enables flexibility in work location while contributing to innovative engineering projects across various industries.

How does a remote computational engineer typically collaborate with team members on complex projects?

Remote computational engineers often use collaborative software tools, such as version control systems, cloud-based simulation platforms, and video conferencing, to stay connected with their teams. They regularly participate in virtual meetings, share project updates, and review code or modeling results together. Despite working remotely, strong communication skills are essential to coordinate with multidisciplinary teams, address technical challenges, and ensure alignment on project goals and deadlines.

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

To thrive as a Remote Computational Engineer, you need strong analytical and mathematical abilities, proficiency in computational modeling, and a degree in engineering, mathematics, or a related field. Familiarity with programming languages (such as Python, MATLAB, or C++), high-performance computing systems, and relevant simulation software is typically required. Excellent problem-solving, self-motivation, and clear communication skills help you collaborate effectively in a remote environment. These skills ensure that you can develop accurate models, contribute to complex projects, and maintain productivity while working independently.

What is the difference between Remote Computational Engineering vs Remote Data Scientist?

AspectRemote Computational EngineeringRemote Data Scientist
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; programming skillsBachelor's or higher in statistics, computer science, or related fields; programming and statistical skills
Work EnvironmentCollaborative engineering teams, simulation labs, software developmentData analysis teams, research environments, analytics platforms
Industry UsageEngineering firms, tech companies, manufacturing
Common Search IntentComparing roles in engineering and technical development

Remote Computational Engineering and Remote Data Scientist roles share a focus on programming and analytical skills, often requiring similar educational backgrounds. However, computational engineers typically work on simulations, modeling, and engineering solutions, while data scientists focus on analyzing data to derive insights. Both roles are prevalent in tech-driven industries and often involve remote collaboration, but their core functions differ in application and industry focus.

What are popular job titles related to Remote Computational Engineering jobs in Mukilteo, WA?

For Remote Computational Engineering jobs in Mukilteo, WA, the most frequently searched job titles are:

Infographic showing various Remote Computational Engineering job openings in Mukilteo, WA as of June 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 100% Remote job distribution, with an average salary of $136,492 per year, or $65.6 per hour.

Computational Statistics Expert - PhD - AI Trainer

Mercor

Seattle, WA โ€ข On-site, Remote

$70 - $90/hr

Full-time

Posted 3 days ago

New


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 Statistics and Applied Mathematics Expert (R, Python, and Matlab/Scilab)
Type: Contract
Compensation: $70–$90/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems to test AI systems' ability to solve scientific and engineering tasks.
  • Develop problems requiring skilled use of specialized statistical, mathematical, or scientific software packages.
  • Test and refine problems against state-of-the-art AI models to achieve target difficulty.
  • Collaborate with AI research teams to improve problem setups and solution validators.
  • Work independently in a Linux/terminal environment with remote compute sandboxes.

Qualifications

Must-Have

  • Graduate-level training in statistics, applied mathematics, or a relevant STEM field.
  • Proven proficiency with at least one specialized statistical, mathematical, or scientific software package.
  • Strong Python skills.
  • Ability to work independently and refine problem designs based on feedback.
  • Available for at least 15–20 hours per week.

Preferred

  • Experience across multiple computational domains or specialized software packages.
  • 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.


#hiringmercor