Mechanical Engineering Expert

Employer description and requirements

Mechanical Engineering Expert

Pay: $80–$150/hour

Location: Global, fully remote

Job Type: Contractor (~15 hours per week)

Schedule: Flexible—you choose the hours and days you work, including weekends if desired

We are looking for a highly skilled Mechanical Engineering Expert to contribute to an AI training project involving engineering design, physical modeling, simulation, technical problem-solving, and Python.

The work involves creating, solving, reviewing, and validating engineering tasks across structural, thermal, mechanical, and multiphysics domains. A representative task may require translating physical requirements into a computational model, generating the required geometry or mesh, applying materials and boundary conditions, running an engineering simulation, and determining whether the resulting artifact and analysis satisfy the applicable physical and design constraints.

This is a very coding heavy role. Candidates must have experience using coding agents in their workflow.

What You’ll Work On

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.

Create or modify geometry, meshes, materials, loads, contacts, constraints, and solver inputs.

Perform structural, thermal, dynamic, fatigue, buckling, vibration, or related analyses.

Use Python to automate model preparation, simulation, parameter sweeps, optimization, postprocessing, and verification.

Required Qualifications

An MS or PhD in Mechanical Engineering or a closely related engineering discipline; or

A BS in Mechanical Engineering plus at least 1–2 years of relevant professional experience in mechanical design, analysis, simulation, testing, or R&D.

Strong understanding of applied mechanics and mechanical-engineering fundamentals.

Experience developing analytical, computational, or simulation-based engineering solutions.

Practical proficiency with Python and coding agents.

Relevant tools may include CalculiX, Gmsh, Elmer, FEniCSx, CadQuery, OpenSCAD, OpenFOAM, or similar programmatic engineering software. Experience with an equivalent CLI-accessible tool is acceptable.

Relevant Python tools may include NumPy, SciPy, SymPy, pandas, Matplotlib, Jupyter, CAD or meshing APIs, finite-element libraries, optimization packages, or domain-specific scientific tools. No single library is mandatory.

Process

Apply to the role and complete the screening questions.

Complete an AI interview of approximately 30 minutes.

Complete the hiring manager review.

Compensation Structure

Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.

Minimum submission requirements apply.

Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.

Application screening questions

What is your expected hourly rate in USD?

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.

If moving forward, would you be able to review and sign the contract within 24 hours, and begin tasking within 24-48 hours of receiving your credentials?

Do you have a portfolio or any open source evidence of your work you'd like to share with us?

Do you have teaching/instructor experience? If so, what does it look like? (Not a deal breaker)

What does your experience with Python look like?

Please select the tools you have experience with: (Would highly recommend making it visible on your application)

Please describe your experience with the previously selected tools.

Other published fields (read alongside the description):

Published hourly-rate fields: {'max': 150, 'min': 80}

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