Mechanical Engineering Expert for AI Training

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this remote AI training role. OpenTrain helps people build careers teaching AI through specialized projects that connect real-world expertise with the development of advanced models.

About AI Training Work

AI training is the human side of building artificial intelligence. Experts create, review, and validate examples so AI systems can reason more accurately, follow constraints, and produce useful technical work. This project applies that process to engineering design, physical modeling, simulation, and Python-based problem-solving.

• Work remotely from anywhere worldwide
• Contribute to cutting-edge AI systems using your professional expertise
• Complete flexible, part-time project work around your schedule

The Mechanical Engineering Expert Role

OpenTrain is seeking a Mechanical Engineering Expert for a global, fully remote contractor project expected to last 1 to 3 months. You will create, solve, review, and validate engineering tasks across structural, thermal, mechanical, and multiphysics domains.

This role is expected to require less than 20 hours per week, approximately 15 hours, with flexible scheduling and weekend work permitted. Compensation is $80 to $130 per hour, output-based and paid per task.

• Contractor and part-time engagement
• Global and fully remote
• Expected commitment: approximately 15 hours per week
• Expected project duration: 1 to 3 months
• Pay rate: $80 to $130 per hour, output-based and paid per task

What You'll Do

You will use strong mechanical-engineering judgment to develop reliable reference solutions and objective validation checks. The work combines analytical reasoning, computational modeling, simulation review, design iteration, and evaluation of AI-generated engineering responses.

• 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
• Analyze stress, strain, displacement, temperature, heat flow, deformation, frequency response, safety factors, and related outputs
• Compare simulations with hand calculations, experimental data, reference cases, or expected physical behavior
• Diagnose invalid geometry, mesh problems, convergence failures, incorrect boundary conditions, and unrealistic outputs
• Review AI-generated engineering solutions for reasoning errors, incorrect assumptions, and violated physical constraints
• Improve designs for performance, mass, strength, stiffness, thermal behavior, reliability, or manufacturability

Required Qualifications and Technical Skills

You should have advanced mechanical-engineering knowledge and practical experience creating analytical, computational, or simulation-based solutions. You must be able to select and justify loads, boundary conditions, material properties, and model fidelity.

Engineering software experience must include code, scripts, configuration files, command-line interfaces, or programmatic APIs. GUI-only experience is not sufficient. Fluent English proficiency and comfort working in English are required.

• MS or PhD in Mechanical Engineering or a closely related discipline, or BS in Mechanical Engineering plus 1 to 2 years of relevant professional experience
• Relevant experience in mechanical design, analysis, simulation, testing, or R&D
• Strong understanding of applied mechanics and mechanical-engineering fundamentals
• Practical proficiency in Python
• Experience with CLI, scripting, text-based inputs, or programmatic APIs for engineering, geometry, meshing, or simulation tools
• Potential tools include CalculiX, Gmsh, Elmer, FEniCSx, CadQuery, OpenSCAD, and OpenFOAM
• Experience with NumPy, SciPy, SymPy, pandas, Matplotlib, Jupyter, CAD or meshing APIs, finite-element libraries, or optimization packages
• Fluent English and comfort working in English

Who Should Apply

This opportunity is designed for an intermediate-level mechanical engineering professional who can combine engineering fundamentals with hands-on computational or simulation experience. It is especially well suited to someone who enjoys checking assumptions, explaining technical reasoning, and determining whether an engineering result is physically credible.

Apply if you have mechanical engineering simulation and AI training subject matter expertise, can work independently in a flexible remote setting, and are comfortable using Python-driven tools rather than relying only on graphical interfaces.

• Mechanical engineering simulation expertise
• Experience reviewing or validating technical solutions
• Ability to identify incorrect assumptions and physical constraints
• Comfort with flexible work under 20 hours per week
• Interest in helping improve how AI handles engineering problems

Hiring Process

The selection process is designed to assess both your technical judgment and fit for the project. You will apply through OpenTrain and complete the following steps.

• Apply and complete screening questions
• Complete an approximately 30-minute AI interview and any required technical assessment
• Complete hiring manager review and onboarding