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Open nowFirst seen 3 days ago

Remote | Aerodynamics Expert (MSc. or PhD) — $80–$120/hour

24-MAG343 open roles

Where
New York, United States, Remote
Work mode
Remote
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Your applicationOpen nowRemote | Aerodynamics Expert (MSc. or PhD) — $80–$120/hour24-MAG · New York, United States, Remote

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. 24-MAG postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: first seen 3 days ago

24-MAG median: 1 days open

The posting

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.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy

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