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Remote Computational Mechanics Engineer Jobs (NOW HIRING)

Weekday AI

STEM Researcher - Computational Fields

$60 - $90/hr

This is a fully remote, full-time engagement requiring approximately 35 hours per week ... programming and data analysis. * Minimum 1 year of experience in an active research role within ...

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How much do remote computational mechanics engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote computational mechanics engineer 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 mechanics engineer, and why are they important?

To thrive as a Remote Computational Mechanics Engineer, you need strong analytical skills in mechanics, proficiency in numerical modeling, and a degree in mechanical engineering or a related field. Familiarity with finite element analysis (FEA) software such as ANSYS, Abaqus, or COMSOL, and experience with programming languages like Python or MATLAB are commonly required. Excellent problem-solving abilities, effective communication, and self-motivation are crucial soft skills for remote collaboration and project management. These competencies ensure accurate simulations, efficient workflow, and successful cross-team integration in a remote work environment.

How do remote computational mechanics engineers typically collaborate with team members and clients across different locations?

Remote Computational Mechanics Engineers often work closely with multidisciplinary teams, including fellow engineers, project managers, and clients, using virtual collaboration tools such as video conferencing, shared modeling platforms, and project management software. Regular online meetings and real-time document sharing are essential to ensure alignment on project goals, simulation results, and design iterations. Effective communication and proactive updates are crucial in overcoming challenges related to time zone differences and remote workflows, making strong organizational and interpersonal skills valuable assets in this role.

What is a remote computational mechanics engineer?

Remote Computational Mechanics Engineers are professionals who use computer-based modeling and simulation to analyze and solve problems related to the mechanics of materials and structures, all while working from a remote location. They typically use finite element analysis (FEA) and computational fluid dynamics (CFD) tools to predict how products will behave under various conditions. Their work helps in optimizing designs, improving safety, and reducing costs in industries such as aerospace, automotive, and civil engineering. Working remotely, they collaborate with teams using digital communication tools and specialized software.
What cities are hiring for Remote Computational Mechanics Engineer jobs? Cities with the most Remote Computational Mechanics Engineer job openings:
What are the most commonly searched types of Computational Mechanics Engineer jobs? The most popular types of Computational Mechanics Engineer jobs are:
What states have the most Remote Computational Mechanics Engineer jobs? States with the most job openings for Remote Computational Mechanics Engineer jobs include:
Remote Computational Mechanics Engineer jobs near you

STEM Researcher - Computational Fields

Weekday AI

Remote

$60 - $90/hr

Part-time

Posted 9 days ago

Job description

This role is for one of our clients
Compensation: $60-$90 per hour
Join a pioneering AI initiative focused on developing the next generation of evaluation benchmarks for frontier AI models. We are seeking researchers from computational STEM disciplines-as well as computationally intensive social sciences and humanities-to bring the rigor of real-world research into AI evaluation.
In this role, you will transform scientific methodologies such as experimental design, hypothesis testing, and data-driven analysis into sophisticated, multi-step benchmark tasks that challenge state-of-the-art AI systems. Working closely with AI researchers, you'll help uncover subtle reasoning errors and methodological flaws that only experienced researchers can identify.
This is a fully remote, full-time engagement requiring approximately 35 hours per week.
Requirements
Key Responsibilities
  • Design complex, research-oriented benchmark tasks inspired by real-world scientific workflows, including study design, experimentation, hypothesis testing, and data analysis.
  • Develop comprehensive reference solutions using Python, notebooks, and computational tools with the rigor expected in professional research.
  • Define clear evaluation standards that distinguish sound scientific reasoning from plausible but incorrect conclusions.
  • Review AI-generated solutions, identifying methodological weaknesses, analytical errors, and flawed reasoning that experienced researchers would recognize immediately.
  • Collaborate with AI researchers and fellow domain experts to improve benchmark quality, consistency, and scientific rigor.
  • Contribute to the continuous refinement of evaluation methodologies for advanced AI systems.
Required Qualifications
  • Master's degree, PhD, or equivalent practical experience in a STEM discipline, computational social science, computational humanities, or another research-intensive field involving programming and data analysis.
  • Minimum 1 year of experience in an active research role within academia, industry, government laboratories, or a similar research environment.
  • Demonstrated experience performing computational research involving Python, data analysis, simulation, modeling, machine learning, or scientific computing.
  • Strong understanding of experimental design, hypothesis testing, statistical analysis, and rigorous interpretation of research findings.
  • Working knowledge of Git, integrated development environments (IDEs), and notebook platforms such as Jupyter or Google Colab.
  • Experience with AI evaluation, benchmark development, AI training, or task authoring is preferred.
  • Excellent analytical thinking, attention to detail, creativity, and the ability to solve complex, open-ended problems independently.
  • Strong written communication skills for documenting technical methodologies and research findings.
  • Ability to commit approximately 35 hours per week on a consistent basis.
Preferred Qualifications
  • Experience designing reproducible computational experiments or research workflows.
  • Familiarity with machine learning, large language models, or AI-assisted research tools.
  • Background in benchmark design, scientific software development, or computational research infrastructure.
  • Experience mentoring researchers, reviewing scientific work, or contributing to peer-reviewed publications.
Why Join
  • Help shape how next-generation AI systems are evaluated using rigorous scientific methodologies.
  • Collaborate with leading AI researchers working on frontier models and advanced evaluation frameworks.
  • Apply your research expertise to improve AI reasoning, reliability, and scientific accuracy.
  • Contribute to impactful work that advances the quality and robustness of AI systems across multiple disciplines.
  • Enjoy the flexibility of a fully remote engagement while working on cutting-edge AI research initiatives.
Equal Opportunity
We are committed to fostering an inclusive and diverse environment where all qualified applicants receive equal consideration. Reasonable accommodations are available throughout the application and engagement process.
Contract & Engagement Details
  • Independent contractor engagement.
  • Fully remote with flexible working hours.
  • Expected commitment of approximately 35 hours per week.
  • Project duration may be extended, shortened, or concluded based on project requirements and individual performance.
  • Work does not require access to confidential or proprietary information from any current or former employer.
  • Payments are issued weekly based on approved work completed.
  • At this time, we are unable to support H1-B or STEM OPT candidates.

Apply