Mechanical Engineering Expert

Role Type: Contractor
Location: Global, Fully Remote
Schedule: ~15 hours/week, flexible

About the Role

We're seeking a Mechanical Engineering Expert to support an AI training project involving engineering design, physical modeling, simulation, technical problem-solving, and Python. You'll solve, validate, and review structural, thermal, mechanical, and multiphysics engineering tasks. No prior AI experience is required.

Key Responsibilities

• Solve and validate mechanical engineering problems involving design, analysis, simulation, and testing.
• Translate engineering requirements into analytical and computational models.
• Create and modify geometry, meshes, materials, loads, constraints, and solver inputs.
• Perform structural, thermal, dynamic, fatigue, buckling, and vibration analyses.
• Use Python to automate simulations, parameter sweeps, optimization, and post-processing.
• Analyze stress, strain, displacement, temperature, deformation, frequency response, and safety factors.
• Diagnose geometry, mesh, convergence, boundary-condition, and modeling issues.
• Compare simulation results with calculations, experiments, and expected physical behavior.
• Review AI-generated engineering solutions and develop reproducible reference solutions.

Required Skills

• Mechanical Engineering & Applied Mechanics
• Engineering Design & Analysis
• Structural & Thermal Analysis
• Computational Modeling & Simulation
• Python
• CAD, Meshing & Simulation
• Numerical Validation & Troubleshooting
• Technical Problem-Solving

Tools

Experience with CalculiX, Gmsh, Elmer, FEniCSx, CadQuery, OpenSCAD, OpenFOAM, or equivalent CLI/programmatic engineering tools. Python tools such as NumPy, SciPy, SymPy, pandas, Matplotlib, and Jupyter are beneficial.

Qualifications

• MS/PhD in Mechanical Engineering or related discipline, or BS in Mechanical Engineering with 1–2+ years of relevant professional experience.
• Strong mechanical-engineering fundamentals and simulation experience.
• Practical Python and programmatic engineering-tool experience.
• Ability to select and justify materials, loads, boundary conditions, assumptions, and model fidelity.
• Ability to validate results and clearly explain engineering decisions and trade-offs.

Process

Application ~30-minute AI interview Technical assessment (if required) Hiring manager review.