Mechanical Engineering AI Training Expert

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role. OpenTrain is the leading platform for finding and building careers in AI training and data labeling, helping contributors discover projects, build a professional profile, and apply in minutes.

• Create a profile and apply through OpenTrain at no cost.
• Build a portfolio of specialized AI training work.

About AI Training Work

AI training is the human work behind modern artificial intelligence. Experts create examples, evaluate model outputs, and identify errors so AI systems can produce more accurate and useful results. In this role, your engineering judgment will help improve AI capabilities in mechanical simulation and computational analysis.

• Work on cutting-edge AI projects in an expanding technology field.
• Contribute remotely using a computer and an internet connection.
• Use specialized expertise to assess whether AI-generated engineering solutions are physically sound.

The Role

OpenTrain is seeking a Mechanical Engineering Simulation AI Trainer to create, solve, and validate engineering tasks for an AI training project. You will develop computational models, run analyses, and evaluate AI-generated solutions across structural, thermal, mechanical, and multiphysics domains.

This is a flexible, worldwide remote contractor role for about 15 hours per week, or less than 20 hours weekly. The position is listed as entry level, while the work requires the specified academic or professional mechanical engineering background.

• Employment type: Contractor and part time
• Schedule: Flexible, with approximately 15 hours per week
• Location: Remote and worldwide
• Language: English
• Pay: $80 to $130 per hour based on output and experience

What You’ll Do

You will turn physical engineering requirements into reproducible computational tasks and assess both the process and results. Your work will combine simulation, Python automation, engineering troubleshooting, and careful review of AI-generated reasoning.

• Create and modify geometry, meshes, materials, loads, contacts, and solver inputs for engineering simulations.
• Perform structural, thermal, dynamic, fatigue, buckling, vibration, and related analyses using command-line-accessible tools.
• Use Python to automate model preparation, simulations, parameter sweeps, optimization, postprocessing, and verification.
• Analyze simulation outputs and compare them with hand calculations, experimental data, or reference cases.
• Diagnose invalid geometry, mesh problems, convergence failures, and unrealistic outputs.
• Review AI-generated engineering solutions for reasoning errors, incorrect assumptions, and violated physical constraints.
• Develop clear, reproducible reference solutions and objective validation checks.

Required Qualifications

You should have advanced academic training or relevant professional experience in mechanical engineering, along with practical simulation and Python skills. Strong communication and troubleshooting ability are important because you will need to explain engineering decisions and trade-offs clearly.

• Master’s or PhD in Mechanical Engineering or a closely related discipline, or a bachelor’s degree plus at least 1 to 2 years of relevant professional experience.
• Strong understanding of applied mechanics and mechanical engineering fundamentals.
• Practical proficiency with Python for engineering automation and simulation.
• Experience with at least one command-line-accessible engineering simulation tool, such as CalculiX, Gmsh, Elmer, FEniCSx, or OpenFOAM.
• Ability to translate physical requirements into computational models and validate simulation results.
• Ability to review AI-generated engineering solutions and identify reasoning errors.
• Strong troubleshooting and communication skills.

Helpful Background

The following experience is valued but not required. It can help you work efficiently across modeling, analysis, and technical evaluation tasks.

• Experience with NumPy, SciPy, SymPy, pandas, Matplotlib, or Jupyter.
• Familiarity with CadQuery, OpenSCAD, SU2, or other programmatic engineering software.
• Teaching or instructor experience.

Why Join This Project

This project offers a way to apply real mechanical engineering expertise to the development of AI systems. You will work flexibly, choose your hours and days, and build a portfolio of AI training work in a platform designed for freelancers.

• Improve AI capabilities in engineering and simulation domains.
• Work remotely with a flexible schedule.
• Earn $80 to $130 per hour based on output and experience.
• Build experience and a portfolio at the intersection of mechanical engineering and AI.

How to Apply

Create a free OpenTrain account, complete your profile, and apply in minutes. OpenTrain AI handles hiring and contracting for this opportunity.

• Prepare details about your mechanical engineering education or experience.
• Highlight your Python automation and simulation background.
• Include the command-line-accessible simulation tools you have used.