Remote | Mechanical Engineering Expert

We are sharing a specialised part-time consulting opportunity for experienced mechanical engineers with strong expertise in engineering design, physical modelling, simulation, technical problem-solving, and Python to contribute to an advanced AI training and engineering evaluation project.
Selected professionals will create, solve, review, and validate technically rigorous engineering tasks across structural, thermal, mechanical, and multiphysics domains. The work combines applied mechanical-engineering judgement, computational modelling, Python-based automation, simulation verification, and critical evaluation of engineering solutions. Strong experience with programmatic engineering workflows is essential.
Key Responsibilities
Mechanical Engineering Analysis & Modelling
Solve and validate mechanical-engineering problems involving design, analysis, simulation, testing, or R&D
Translate physical systems and engineering requirements into analytical or computational models
Apply appropriate assumptions, model fidelity, and engineering simplifications
Evaluate whether modelling choices accurately represent real-world physical behaviour
Develop technically sound solutions across structural, thermal, mechanical, and multiphysics applications
Geometry, Meshing & Simulation
Create or modify geometry, meshes, materials, loads, contacts, constraints, and solver inputs
Perform structural, thermal, dynamic, fatigue, buckling, vibration, and related analyses
Select and justify loads, boundary conditions, material properties, and simulation parameters
Diagnose invalid geometry, poor mesh quality, convergence failures, and incorrect boundary conditions
Determine whether simulation outputs are physically realistic and technically valid
Python Automation & Computational Workflows
Use Python to automate model preparation, simulations, parameter sweeps, optimisation, post-processing, and verification
Develop reproducible workflows using scripts, configuration files, command-line tools, or programmatic APIs
Work with scientific Python libraries such as NumPy, SciPy, SymPy, pandas, Matplotlib, Jupyter, or comparable tools
Integrate Python with CAD, meshing, finite-element, optimisation, or simulation software
Build clear and repeatable workflows suitable for technical review and validation
Validation, Design Improvement & AI Evaluation
Analyse stress, strain, displacement, temperature, heat flow, deformation, frequency response, safety factors, and other relevant outputs
Compare simulation results with hand calculations, experimental data, reference cases, or expected physical behaviour
Review AI-generated engineering solutions and identify reasoning errors, incorrect assumptions, or violated physical constraints
Develop reproducible reference solutions and objective validation checks
Iteratively improve designs for performance, mass, strength, stiffness, thermal behaviour, reliability, or manufacturability
Ideal Profile
MS or PhD in Mechanical Engineering or a closely related engineering discipline
Alternatively, a BS in Mechanical Engineering with at least 1–2 years of relevant professional experience in mechanical design, analysis, simulation, testing, or R&D
Strong understanding of applied mechanics and core mechanical-engineering principles
Experience developing analytical, computational, or simulation-based engineering solutions
Practical proficiency with Python
Experience with at least one mechanical-engineering, geometry, meshing, or simulation tool supporting CLI, scripting, configuration files, or a programmatic API
Relevant tools may include CalculiX, Gmsh, Elmer, FEniCSx, CadQuery, OpenSCAD, OpenFOAM, or comparable software
Ability to select and justify boundary conditions, loads, material properties, physical assumptions, and model fidelity
Strong ability to troubleshoot simulations and distinguish numerical problems from real physical behaviour
Ability to explain engineering decisions, limitations, and trade-offs clearly
Experience limited exclusively to graphical-user-interface workflows is not sufficient for this engagement
Engagement Details
Part-time independent contractor engagement
Fully remote and open to candidates worldwide
Compensation: $80–$130/hour
Expected commitment: approximately 15 hours per week
Schedule is flexible, including the option to work evenings or weekends
Compensation is output-based, with payment made for tasks that meet project specifications
Minimum submission requirements apply
Work will involve mechanical modelling, engineering simulation, Python automation, design analysis, validation, and technical review
Selected professionals should be prepared to begin their first task within approximately 24–48 hours of completing onboarding
Roles are typically filled within approximately 48 hours
The selection process may include screening questions, an approximately 30-minute AI interview, and hiring-manager review
Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, research group, 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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Work arrangement
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