2

Remote Openfoam Jobs (NOW HIRING)

$48K - $65K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... use of OpenFOAM and/or COMSOL)) are welcome to apply. Experience in blood and animal ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Experience with CFD software such as OpenFOAM is preferred, but not required. To be considered for ...

On-site or hybrid work is preferred; however, for highly qualified candidates, a remote arrangement ... Proficiency with analysis and modeling tools (ANSYS Fluent, OpenFOAM, MATLAB/Simulink) and CAD ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... such as OpenFOAM and COMSOL Multiphysics. Expertise in reservoir engineering and phase-field ...

On-site or hybrid work is preferred; however, for highly qualified candidates, a remote arrangement ... Proficiency with analysis and modeling tools (ANSYS Fluent, OpenFOAM, MATLAB/Simulink) and CAD ...

On-site or hybrid work is preferred; however, for highly qualified candidates, a remote arrangement ... Proficiency with analysis and modeling tools (ANSYS Fluent, OpenFOAM, MATLAB/Simulink) and CAD ...

Remote Openfoam information

See salary details

$28

$32

$36

How much do remote openfoam jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for remote openfoam in the United States is $32.69, according to ZipRecruiter salary data. Most workers in this role earn between $30.77 and $34.62 per hour, depending on experience, location, and employer.

What is the difference between Remote Openfoam vs Remote CFD Engineer?

AspectRemote OpenfoamRemote CFD Engineer
Required credentialsKnowledge of OpenFOAM, engineering backgroundCFD software proficiency, engineering degree
Work environmentRemote, computational modelingRemote, simulation and analysis
Industry usageResearch, academia, engineering firmsEngineering, aerospace, automotive

Remote Openfoam focuses on using the OpenFOAM software for computational fluid dynamics tasks, often requiring specific software knowledge. Remote CFD Engineer covers a broader range of CFD tools and applications, with similar credentials. Both roles are remote and industry-relevant, but Remote Openfoam is more specialized in OpenFOAM software, while Remote CFD Engineer may involve multiple CFD platforms.

What is a Remote OpenFOAM job?

A Remote OpenFOAM job refers to a position in which professionals use OpenFOAM, an open-source computational fluid dynamics (CFD) software, to perform simulations and analyses from a remote location rather than on-site. These roles typically involve tasks such as setting up CFD models, running simulations, post-processing results, and collaborating with teams or clients online. Remote OpenFOAM jobs are common in industries like engineering, automotive, aerospace, and research, offering flexibility in location while working on complex fluid dynamics problems. Candidates for these roles usually require strong computational skills, experience with OpenFOAM, and the ability to communicate effectively in a virtual environment.

What are some common challenges faced by remote OpenFOAM engineers, and how can they be effectively managed?

Remote OpenFOAM engineers often encounter challenges related to collaboration and accessing high-performance computing resources. Since computational fluid dynamics projects can require significant computational power, it's important to ensure you have reliable remote access to servers or cloud-based HPC environments. Effective communication with team members, regular updates, and clear documentation help overcome the barriers of working remotely. Utilizing collaborative tools and version control systems also streamlines teamwork and project management, ensuring your contributions integrate smoothly with the overall workflow.

What are the key skills and qualifications needed to thrive as a Remote OpenFOAM Engineer, and why are they important?

To thrive as a Remote OpenFOAM Engineer, you need a strong background in computational fluid dynamics (CFD), programming (e.g., C++), and a relevant engineering or science degree. Proficiency with OpenFOAM software, Linux operating systems, and version control tools like Git is typically required. Strong problem-solving abilities, effective communication, and self-motivation are vital soft skills for remote collaboration and project management. These skills ensure accurate simulations, efficient workflow, and successful teamwork in distributed engineering environments.
What cities are hiring for Remote Openfoam jobs? Cities with the most Remote Openfoam job openings:
What are the most commonly searched types of Openfoam jobs? The most popular types of Openfoam jobs are:
What states have the most Remote Openfoam jobs? States with the most job openings for Remote Openfoam jobs include:

CFD Engineer - AI Task Designer Remote (OpenFOAM)

Alignerr

Remote

$80 - $110/hr

Contractor

Posted 28 days ago


Job description

CFD Engineer - AI Task Designer
About the Role
What if your expertise in computational fluid dynamics could teach AI to reason about aerodynamics, boundary conditions, and flow physics - without you ever having to write a single line of machine-learning code?
We're looking for CFD engineers and aerodynamicists to design small, well-defined engineering challenges that train and evaluate AI models on real fluid-dynamics reasoning. Each task you create has three parts: a clear problem statement, a deterministic checker that scores the model's answer, and a trusted reference solution that proves the task is solvable. Think of it as writing bite-sized CFD exam problems - grounded in physics, unambiguous, and automatically gradable.
No reinforcement-learning or AI research background is required. What matters is your hands-on simulation experience and your ability to translate domain knowledge into precise, solvable tasks.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week

What You'll Do
  • Design compact, self-contained CFD and aerodynamics tasks that test an AI model's engineering reasoning
  • Write clear, unambiguous problem statements covering topics such as boundary-condition selection, mesh quality assessment, flow-regime identification, and simulation setup
  • Develop deterministic scoring checkers that can automatically evaluate a model's final answer
  • Provide verified reference solutions that confirm each task is solvable and correctly scored
  • Review and iterate on tasks to ensure physical accuracy, clarity, and appropriate difficulty
  • Draw on your experience with OpenFOAM to ground tasks in real-world practice
  • Work independently and asynchronously - fully on your own schedule

Who You Are
  • Hands-on experience with OpenFOAM
  • Solid foundation in fluid mechanics, aerodynamics, and heat transfer fundamentals
  • Comfortable with mesh generation, turbulence modeling, boundary-condition specification, and post-processing
  • Able to formulate engineering problems that are precise, self-contained, and objectively verifiable
  • Strong written communication skills - you can explain complex physics clearly and concisely
  • Background in Aerospace Engineering, Mechanical Engineering, or a closely related discipline (BS or higher preferred)
  • Self-motivated and reliable when working independently without supervision

Nice to Have
  • Experience across multiple CFD solvers or multiphysics platforms
  • Familiarity with scripting or automation (Python, Bash, MATLAB) for setting up or post-processing simulations
  • Exposure to design optimization, flow-control strategies, or adjoint methods
  • Graduate-level coursework or research in aerodynamics, propulsion, or computational methods at institutions such as IITs, IISc, or NITs
  • Previous experience writing technical assessments, exam problems, or engineering challenges
  • Interest in how large language models reason about STEM problems

Why Join Us
  • Apply your CFD expertise to cutting-edge AI research alongside leading labs - from a completely new angle
  • Fully remote and flexible - work when and where it suits you
  • Freelance autonomy with the structure of meaningful, task-based work
  • No need to retrain as a data scientist - your engineering judgment is exactly what's needed
  • Contribute directly to teaching AI models real-world physical reasoning
  • Potential for ongoing work and contract extension as new projects launch