Mechanical Engineering Expert for AI Training

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping experts discover meaningful projects, create a profile, and apply in minutes. Creating an OpenTrain account is free.

• Global, fully remote contractor opportunity
• Flexible schedule with work available on weekdays or weekends
• Part-time commitment of approximately 15 hours per week

About AI Training Work

AI training is the human side of building artificial intelligence. Experts create, solve, review, and evaluate examples that help AI systems produce more accurate and useful results. In this project, your mechanical engineering judgment will help assess computational designs, simulations, technical reasoning, and engineering solutions.

• Contribute to cutting-edge AI development
• Apply specialized engineering expertise to practical evaluation tasks
• Work remotely with a flexible workload

The Role

OpenTrain AI is seeking a highly skilled Mechanical Engineering Expert for an AI training project involving engineering design, physical modeling, simulation, technical problem-solving, and Python. You will work across structural, thermal, mechanical, and multiphysics problems, translating physical requirements into computational models and determining whether engineering artifacts and analyses satisfy physical and design constraints.

The role requires strong mechanical-engineering judgment and experience operating engineering tools through code, scripts, configuration files, command-line interfaces, or programmatic APIs. Experience limited exclusively to graphical interfaces will not be sufficient.

• Pay range: $80–$130 per hour
• Compensation is output-based and paid per task that meets project specifications
• Expected project duration: 1 to 3 months
• Expected availability: less than 20 hours per week
• English-language work requiring fluent English proficiency
• Worldwide eligibility with a fully remote setup

What You’ll Work On

You will solve and validate engineering tasks, build reproducible reference solutions, and review AI-generated responses for technical accuracy. Tasks may involve design, analysis, simulation, testing, research and development, or computational design.

• 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 for 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 simulation results with hand calculations, experimental data, reference cases, or expected physical behavior.
• Diagnose invalid geometry, mesh issues, convergence failures, incorrect boundary conditions, and unrealistic outputs.
• Review AI-generated engineering solutions for reasoning errors, incorrect assumptions, and violated physical constraints.
• Explain engineering decisions, limitations, and trade-offs clearly.
• Improve designs for performance, mass, strength, stiffness, thermal behavior, reliability, or manufacturability.

Required Qualifications

Applicants should have advanced mechanical engineering expertise and practical experience developing analytical, computational, or simulation-based solutions. You must be able to select and justify loads, boundary conditions, material properties, physical assumptions, and model fidelity, then determine whether results are physically reasonable.

• MS or PhD in Mechanical Engineering or a closely related engineering discipline; or
• BS in Mechanical Engineering plus 1–2 years of relevant professional experience in design, analysis, simulation, testing, or R&D.
• Strong understanding of applied mechanics and mechanical-engineering fundamentals.
• Practical proficiency with Python.
• Experience with a mechanical-engineering, geometry, meshing, or simulation tool accessible through a CLI, scripting interface, configuration files, or programmatic API.
• Ability to troubleshoot simulations and validate engineering outputs.
• Ability to explain technical decisions, limitations, and trade-offs clearly.
• Experience with computer code programming labeling workflows.
• Experience with evaluation rating, text generation, and question answering tasks.

Relevant Tools and Technical Experience

Relevant programmatic engineering tools may include CalculiX, Gmsh, Elmer, FEniCSx, CadQuery, OpenSCAD, OpenFOAM, or equivalent CLI-accessible software. No specific tool is mandatory when you have comparable experience.

Relevant Python tools may include NumPy, SciPy, SymPy, pandas, Matplotlib, Jupyter, CAD or meshing APIs, finite-element libraries, optimization packages, and other scientific or domain-specific tools.

• Mechanical engineering simulation expertise
• Computational design experience
• Engineering modeling and validation
• Python scripting and automation
• Programmatic geometry, meshing, or simulation workflows

Application and Start Process

OpenTrain AI typically fills roles within 48 hours and is seeking experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours after completing onboarding. Minimum submission requirements apply, and the time needed for each task may vary based on your experience and workflow.

• Apply and complete the screening questions.
• Complete an approximately 30-minute AI interview.
• Complete a technical assessment if required.
• Complete the hiring manager review.
• Begin the first task within 24–48 hours of onboarding if selected.