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Remote Computational Engineering Jobs (NOW HIRING)

STEM Expert - Fully Remote

New York, NY ยท Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research teams to close knowledge ... computational modeling, laboratory methods, data analysis, statistical inference, programming, or ...

STEM Expert - Fully Remote

New York, NY ยท Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research teams to close knowledge ... computational modeling, laboratory methods, data analysis, statistical inference, programming, or ...

$65 - $100/hr

... computational mathematics, and structured quantitative review. This role supports current and ... engineering, or a related quantitative field is helpful * Graduate-level study, research experience ...

Remote Commitment: 10-40 hours/week Role Responsibilities Join Mercor's Physicist Network to be ... computational modeling Experience in experimental design, data analysis, or scientific programming ...

$29 - $36/hr

Senior Project Manager, Computational Biology & AI/ML (Contract-12 Months-Remote) Cambridge, UK Our ... and engineers collaborate to achieve ambitious goals. This role is designed for an operational ...

$18.75 - $24.50/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Students studying Computer Science, Electrical Engineering, Mathematics and/or Physics are ...

Remote Become a part of our customer's team as a Computational CAD Engineer specializing in OpenSCAD, where your practical skills with OpenSCAD will drive the development of cutting-edge AI-enabled ...

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Showing results 1-20

Remote Computational Engineering information

See salary details

$48.5K

$121.5K

$137.5K

How much do remote computational engineering jobs pay per year?

As of May 28, 2026, the average yearly pay for remote computational engineering in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

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.

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 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.

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.

More about Remote Computational Engineering jobs
What cities are hiring for Remote Computational Engineering jobs? Cities with the most Remote Computational Engineering job openings:
What are the most commonly searched types of Computational Engineering jobs? The most popular types of Computational Engineering jobs are:
What states have the most Remote Computational Engineering jobs? States with the most job openings for Remote Computational Engineering jobs include:
Infographic showing various Remote Computational Engineering job openings in the United States as of May 2026, with employment types broken down into 8% Full Time, and 92% Part Time. Highlights an 7% Physical, 20% Hybrid, and 73% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.

STEM Expert - Fully Remote

Mercor

New York, NY โ€ข Remote

$70 - $100/hr

Full-time

Posted 20 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: Expert Professionals โ€” STEM Research
Type: Contract
Compensation: $70โ€“$100/hour
Location: Remote
Commitment: 40 hours/week

Role Responsibilities

  • Guide research teams to close knowledge gaps in STEM domains by surfacing edge cases, ambiguities, and frontier problems where current models underperform.
  • Design challenging, rigorous domain tasks and write accurate, well-reasoned solutions that demonstrate expert-level scientific and technical reasoning.
  • Evaluate tasks and solutions produced by AI agents and other contributors, providing clear written technical feedback grounded in domain expertise.
  • Develop evaluation frameworks and rubrics for assessing scientific reasoning quality across STEM domains.
  • Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Qualifications

Must-Have

  • PhD (completed, enrolled, or equivalent research track) in Physics, Chemistry, Biology, Mathematics, Statistics, Computer Science, Electrical Engineering, Mechanical Engineering, Civil Engineering, Materials Science, or another STEM discipline.
  • 3+ years of research, academic, or industry experience in their primary STEM domain.
  • Demonstrated technical expertise in at least one domain: computational modeling, laboratory methods, data analysis, statistical inference, programming, or equivalent scientific methods.
  • Ability to commit to 40 hours per week during weekdays for the duration of the engagement.
  • Strong written communication skills; ability to explain complex scientific or technical concepts clearly in writing.

Preferred

  • Prior experience with data annotation, labeling, evaluation, or human feedback collection.
  • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks.

Compensation & Legal

  • W-2 employment with Cincinnatus LLC.

Application Process (Takes 20โ€“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.