CFD Engineer

Remotebridge; United States; À distance; USD 90 000 - 130 000; Temps partiel

Résumé du poste

Remotebridge is seeking a CFD Engineer contractor to contribute to AI-enhanced engineering simulations. You will tackle mesh generation, turbulence modeling, and solver setup, applying domain knowledge to train and improve AI systems in CFD workflows.

This remote, globally distributed role emphasizes rigorous verification, clear technical communication, and independent problem solving, with a flexible start timeline and task-based engagement.

Qualifications

• Bachelor’s degree or higher in mechanical/aerospace/chemical engineering or equivalent CFD experience.
• 3+ years hands-on CFD experience across mesh, solver setup, turbulence, multiphase/heat-transfer, or post-processing.
• Deep understanding of Navier–Stokes, turbulence models (RANS/LES/DES), meshing strategies, BCs, and V&V practices.
• CFD tool proficiency with the listed software is a strong plus and demonstrates problem-authoring or peer contributions.

Responsabilités

• Evaluate and solve advanced CFD challenges including mesh generation, turbulence modeling, multiphase flow, and heat transfer.
• Review AI-generated technical responses for correctness and engineering integrity.
• Apply engineering judgment to CFD scenarios and theoretical questions.
• Analyze CFD problems with best practices: mesh convergence, turbulence model selection, boundary conditions, and convergence analysis.
• Collaborate remotely within a distributed team of experts and document feedback clearly.

Connaissances

CFD analysis

Numerical simulations

Turbulence modeling

Mesh generation

Boundary conditions

Verification & validation

English proficiency

Formation

Bachelor’s degree or higher in Mechanical Engineering, Aerospace Engineering, Chemical Engineering, or related field (CFD focus)

Outils

ANSYS Fluent

STAR-CCM+

OpenFOAM

COMSOL

Converge

Description du poste

Role Title: CFD Engineer

Role Type: Contractor

Location: Remote

Our team is engaging CFD Engineers to contribute to a project focused on advancing the capabilities of AI technologies within engineering simulation. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. This opportunity enables you to impact the future of engineering by ensuring that AI systems can accurately interpret, solve, and explain complex computational fluid dynamics challenges across mesh generation, turbulence modeling, multiphase and heat-transfer simulation, solver setup, and verification & validation. Contributors who value accuracy, technical depth, and clear communication both written and verbal will find this engagement uniquely rewarding and influential.

Scope of Work

• Evaluate and solve advanced CFD challenges involving mesh generation, turbulence modeling, multiphase flow, heat transfer, and solver configuration.
• Review and assess AI-generated technical responses for correctness, accuracy, and engineering integrity.
• Apply practical engineering judgment to simulation scenarios and theoretical fluid-dynamics questions.
• Analyze and troubleshoot CFD problems using best practices such as mesh independence, turbulence model selection, boundary-condition specification, and convergence analysis.
• Contribute domain expertise to refine and inform the reasoning capabilities of AI in computational fluid dynamics.
• Document feedback and provide clear written and verbal explanations that enhance AI learning and performance.
• Collaborate remotely within a distributed network of technical experts and project participants.

Preferred Qualifications

• Bachelor’s degree or higher in Mechanical Engineering, Aerospace Engineering, Chemical Engineering, or a related field with a focus on fluid dynamics or thermofluids; or equivalent practical experience (3+ years) in CFD.
• At least 3 years of hands-on experience conducting and validating CFD simulations, including mesh generation, solver setup, turbulence modeling, multiphase/heat-transfer analysis, or post-processing in industries such as aerospace, automotive, energy, marine, HVAC, process, or biomedical.
• Deep understanding of Navier-Stokes equations, turbulence modeling (RANS, LES, DES), meshing strategies, boundary-condition specification, and verification & validation practices.
• Proven ability to analyze and validate fluid flow, heat-transfer, and multiphysics problems using CFD tools, cross-referencing with experimental or analytical data.
• Familiarity with relevant standards and practices (e.g., ASME V&V 20, AIAA CFD verification & validation, ITTC procedures).
• Excellent English proficiency with outstanding written and verbal communication skills.
• Experience with CFD software (such as ANSYS Fluent, STAR-CCM+, OpenFOAM, COMSOL, or Converge) is a strong plus, as is a documented history of problem-authoring, technical committee service, competition leadership, or peer-recognized contributions in the CFD community.

Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert's experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.

Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24-48 hours of completing onboarding.