Mechanical Engineering Expert

Remotebridge; United States; Remote; USD 110,000 - 207,000; Part time

Job summary

Frontier AI Lab is seeking a Mechanical Engineering Expert for a fully remote contractor role. You will handle AI training tasks that require engineering design, physical modeling, and Python automation, across structural, thermal, and multiphysics domains.

The ideal candidate holds an MS/PhD or a BS with 1–2 years of relevant experience, and is proficient in Python and FEM tools. Flexible scheduling and ~15 hours per week offered.

Qualifications

• MS or PhD in Mechanical Engineering or equivalent.
• BS in Mechanical Engineering with 1–2 years of relevant experience.
• Strong fundamentals in applied mechanics and engineering analysis.
• Experience with Python and coding for automation.

Responsibilities

• Solve and validate mechanical-engineering problems across design, analysis, and simulation.
• Translate physical requirements into analytical or computational models.
• Create/modify geometry, meshes, materials, loads, contacts, constraints, solver inputs.
• Run simulations and verify results against constraints.

Skills

Python programming

Multiphysics analysis

Finite element analysis

Analytical problem solving

Automation

Education

MS/PhD in Mechanical Engineering

BS in Mechanical Engineering + 1–2 years experience

Tools

CalculiX

Gmsh

Elmer

FEniCSx

OpenFOAM

CadQuery/OpenSCAD

Job description

# Mechanical Engineering ExpertFrontier AI Lab · Remote · Full-time## Ready to see if you fit?Upload a resume once, then run an honest fit check on this role in seconds. Access is free and always will be.Sign up to check your fit## About the roleMechanical Engineering ExpertPay: $80–$150/hourLocation: Global, fully remoteJob Type: Contractor (~15 hours per week)Schedule: Flexible—you choose the hours and days you work, including weekends if desiredWe 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 but have experience using coding agents with python 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 StructureCompensation 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 & AvailabilityWe 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.