We are sharing a specialised remote consulting opportunity for experienced Aerodynamics and Computational Fluid Dynamics Professionals with strong expertise in fluid mechanics, aerodynamic analysis, engineering simulation, Python programming, and numerical modelling to contribute their technical knowledge to advanced AI training and evaluation initiatives.
Selected professionals will develop, solve, review, and validate challenging engineering problems involving aerodynamic systems, CFD simulations, computational meshes, and fluid flow analysis. The work combines advanced engineering principles with programmatic simulation workflows, scientific computing, numerical validation, and structured technical evaluation to help improve the accuracy, reasoning, and computational capabilities of advanced AI systems.
Key Responsibilities
Aerodynamic Analysis & Engineering Problem Development
Develop technically rigorous engineering problems involving applied aerodynamics, fluid mechanics, and computational fluid dynamics
Analyse aerodynamic systems, airfoil configurations, flow conditions, and relevant physical constraints
Translate engineering requirements into clearly defined computational models and simulation-based tasks
Apply fundamental principles of fluid dynamics to evaluate lift, drag, pressure distributions, and aerodynamic performance
Contribute specialised engineering expertise to the development of challenging AI training and evaluation problems
Computational Fluid Dynamics & Simulation Design
Develop and evaluate CFD models representing aerodynamic flows and complex fluid-dynamics scenarios
Create or modify engineering geometries, computational domains, and numerical meshes
Define appropriate fluid properties, initial conditions, boundary conditions, and solver configurations
Execute aerodynamic simulations using command-line-accessible engineering tools and computational solvers
Assess the suitability of modelling assumptions, mesh strategies, and numerical methods for specific engineering applications
Python Programming & Automated Engineering Workflows
Develop Python-based workflows for aerodynamic analysis, scientific computing, and engineering simulation
Automate preprocessing, mesh preparation, simulation execution, parameter sweeps, and postprocessing activities
Apply numerical and scientific computing libraries to analyse aerodynamic datasets and simulation outputs
Use programmatic engineering tools and solver interfaces to create reproducible computational workflows
Evaluate code implementations for technical correctness, efficiency, reproducibility, and alignment with engineering requirements
AI Training & Computational Solution Evaluation
Create realistic aerodynamic and fluid-dynamics problems requiring advanced engineering reasoning and numerical analysis
Develop accurate reference solutions supported by reproducible computations and clearly documented methodologies
Review and validate AI-generated engineering analyses, Python implementations, CFD configurations, and technical explanations
Identify errors in modelling assumptions, boundary conditions, numerical calculations, and simulation procedures
Provide detailed technical feedback to improve AI performance across computational fluid dynamics and aerodynamic problem-solving tasks
Numerical Validation & Engineering Quality Assurance
Evaluate CFD results for numerical convergence, physical validity, and consistency with engineering principles
Diagnose simulation instability, non-convergence, incorrect solver configurations, and physically implausible results
Assess mesh quality, discretisation choices, solver settings, and the reliability of calculated aerodynamic quantities
Produce clear technical documentation explaining analytical methods, computational assumptions, validation results, and engineering conclusions
Apply rigorous quality standards to simulation workflows, numerical analysis, and specialised AI evaluation deliverables
Ideal Profile
Master's degree (MSc/MS) or PhD in Aerospace Engineering, or Mechanical Engineering with a specialisation in aerodynamics, fluid dynamics, or thermofluids
Alternatively, a bachelor's degree in Aerospace or Mechanical Engineering with at least 1–2 years of aerodynamics-specific professional or research experience
Strong understanding of fluid mechanics, applied aerodynamics, computational methods, and engineering simulation principles
Demonstrated experience formulating, executing, and evaluating CFD or aerodynamic analyses
Practical proficiency with Python for scientific computing, numerical analysis, or engineering automation
Experience using at least one engineering tool accessible through a command-line interface, scripting environment, configuration files, or programmatic API
Familiarity with engineering software such as OpenFOAM, SU2, Gmsh, FEniCSx, Elmer, CalculiX, or comparable computational tools
Experience developing computational geometries, meshes, solver-ready cases, and reproducible simulation workflows
Ability to define and justify modelling assumptions, fluid properties, boundary conditions, mesh strategies, and numerical solver settings
Strong understanding of aerodynamic quantities, including lift, drag, pressure distributions, and relevant flow characteristics
Demonstrated ability to diagnose non-convergent simulations, numerical instability, incorrect results, and physically invalid outputs
Experience automating simulation execution, parameter studies, postprocessing, or engineering validation procedures
Familiarity with Python libraries such as NumPy, SciPy, pandas, Matplotlib, Jupyter, or relevant domain-specific scientific packages
Strong analytical reasoning, mathematical problem-solving, critical-thinking, and technical research capabilities
Ability to evaluate computational results and explain engineering assumptions, numerical limitations, and technical trade-offs
Exceptional attention to detail and commitment to accurate, reproducible, and well-documented engineering work
Excellent written communication skills, including the ability to explain sophisticated aerodynamic concepts and computational findings clearly
Ability to work independently and manage complex technical assignments in a remote environment
Prior experience with AI training, model evaluation, or related technology initiatives is advantageous but not required
Engagement Details
Freelance / contract engagement
Fully remote — open worldwide
Compensation: $80–$120/hour advertised rate range
Payment Structure: Output-based compensation, with payment made per completed task that meets project specifications
Expected Commitment: Approximately 15 hours per week
Flexible Schedule: Professionals may choose their preferred working hours and days, including weekends
100 available openings
Specialised engineering consulting role spanning aerodynamics, computational fluid dynamics, Python programming, numerical simulation, and AI training
Work will involve aerodynamic problem development, CFD simulation, computational modelling, Python-based automation, and technical solution validation
Technical Requirement: Practical experience with programmatically accessible engineering tools and computational simulation workflows
Task specifications, completion requirements, and compensation will depend on individual assignments
Selection may include screening questions, an approximately 30-minute AI interview, and a hiring manager review
Selected professionals should be prepared to begin their first assignment within 24–48 hours of completing onboarding
Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party
About the Platform
This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
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