top of page
< Back

Mechanical Engineering Expert

$80–$150/h

Global, fully remote

Role overview

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

  1. Solve and validate mechanical-engineering problems involving design, analysis, simulation, testing, or R&D.
  2. Translate physical systems and engineering requirements into analytical or computational models.
  3. Create or modify geometry, meshes, materials, loads, contacts, constraints, and solver inputs.
  4. Perform structural, thermal, dynamic, fatigue, buckling, vibration, or related analyses.
  5. Use Python to automate model preparation, simulation, parameter sweeps, optimization, postprocessing, and verification.


Required Qualifications

  1. An MS or PhD in Mechanical Engineering or a closely related engineering discipline; or
  2. A BS in Mechanical Engineering plus at least 1–2 years of relevant professional experience in mechanical design, analysis, simulation, testing, or R&D.
  3. Strong understanding of applied mechanics and mechanical-engineering fundamentals.
  4. Experience developing analytical, computational, or simulation-based engineering solutions.
  5. 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

  1. Apply to the role and complete the screening questions.
  2. Complete an AI interview of approximately 30 minutes.
  3. 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.

Similar jobs

Aerodynamics Expert · Micro1 · $80–$150/h · Global, fully remote

Aerospace CAD Expert · Micro1 · $40–$80/h · Remote

Application Users - AutoCAD Mechanical - STEM · Mercor · $45–$55/h · Remote

You’ll be redirected to our partner’s application page

AI TRAINING OPPORTUNITY

bottom of page
Sporterer
OPEN OPPORTUNITIES

AI Training Opportunities

Loading opportunities…

Sporterer
Future of work · September 2026

How big is the remote / hybrid opportunity?

Remote work is already huge — but the bigger story may be the hundreds of millions of jobs that could still move beyond geography.

Sporterer Insights · Approximate figures based on World Bank and ILO estimates
Global remote and hybrid work opportunity infographic

Remote work already connects millions of people with companies they would never have been able to work for a decade ago. But compared with the size of the global labour market, it may still be early.

The interesting number is not only how many people work remotely today — it is how many roles could plausibly become remote or hybrid next.

The chart above starts with roughly 3.3 billion people employed worldwide. Around 300 million jobs are already remote or hybrid, while an additional pool of roughly 250 million roles could potentially move in that direction as technology, workflows and company culture continue to change.

Skills are becoming more portable

This matters because more work can increasingly be matched to expertise rather than location. AI training and evaluation are a good example: companies need lawyers, engineers, designers, editors, researchers, finance professionals and many other specialists to help improve AI systems.

For workers, that creates access to projects outside their local market. For companies, it expands the talent pool from one city or country to the world.

Explore remote opportunities →