Mechanical Engineering Expert for AI Training

About OpenTrain

OpenTrain AI is the #1 platform for finding and building careers in AI training and data labeling. We connect skilled contributors with projects that help shape how modern artificial intelligence works, and creating an OpenTrain account is free.

In this contractor role, you will contribute directly to an AI training project focused on mechanical engineering design, physical modeling, simulation, and technical problem-solving.

• Fully remote work from an approved location
• Contractor position with a flexible schedule
• Expected commitment of less than 20 hours per week
• Project duration expected to be under one month

About AI Training Work

AI training is the human side of building artificial intelligence. Experts create, solve, review, and validate examples that help AI systems reason more accurately about specialized technical problems.

Your engineering knowledge will help evaluate whether computational models, simulations, and resulting artifacts satisfy physical and design constraints. This is cutting-edge work for contributors who want to apply their expertise to the development of advanced AI.

• Apply real engineering judgment to AI-generated or AI-training tasks
• Work remotely with flexible hours and days, including weekends if desired
• Help improve AI performance in structural, thermal, mechanical, and multiphysics analysis

The Mechanical Engineering Expert Role

OpenTrain AI is seeking a highly skilled Mechanical Engineering Expert for a coding-heavy AI training project. The work spans engineering design, physical modeling, simulation, technical problem-solving, and Python-based computational workflows.

A representative task may involve translating physical requirements into a computational model, generating geometry or a mesh, applying materials and boundary conditions, running an engineering simulation, and determining whether the resulting artifact and analysis meet applicable physical and design constraints.

The role is listed as entry level, but applicants must meet the stated academic or professional qualifications and bring strong practical engineering capability.

• Pay range: $80–$150 per hour
• Global remote role limited to applicants in the United States, United Kingdom, Canada, Germany, Malaysia, or India
• English-language work requiring fluent English proficiency
• Expected start: first task within 24–48 hours after onboarding if selected

What You’ll Work On

You will solve and validate mechanical engineering problems across design, analysis, simulation, testing, and research and development. The work requires converting real-world engineering requirements into reliable analytical or computational solutions.

• Create, solve, review, and validate engineering tasks
• Translate physical systems and 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
• Assess whether simulation artifacts and analyses satisfy physical and design constraints

Required Qualifications

Applicants should have either an MS or PhD in Mechanical Engineering or a closely related engineering discipline, or a BS in Mechanical Engineering with at least one to two years of relevant professional experience in mechanical design, analysis, simulation, testing, or research and development.

This is a highly coding-heavy role. You must have practical proficiency with Python and coding agents and experience developing analytical, computational, or simulation-based engineering solutions.

• Strong understanding of applied mechanics and mechanical engineering fundamentals
• Practical proficiency with Python and coding agents
• Experience with analytical, computational, or simulation-based engineering work
• Relevant software may include CalculiX, Gmsh, Elmer, FEniCSx, CadQuery, OpenSCAD, OpenFOAM, or similar tools
• Equivalent command-line-accessible engineering software experience is acceptable
• Relevant Python tools may include NumPy, SciPy, SymPy, pandas, Matplotlib, Jupyter, CAD or meshing APIs, finite-element libraries, optimization packages, or scientific tools
• No single software library is mandatory

Who Should Apply

This opportunity is suited to mechanical engineers who enjoy combining engineering judgment with code, simulation, and computational design. It may be a strong fit for professionals or advanced graduates with experience in mechanical analysis, modeling, testing, or R&D who can work independently in English.

• Mechanical engineering experts with strong applied mechanics knowledge
• Engineers experienced in simulation, finite-element analysis, computational design, or physical modeling
• Applicants comfortable automating technical workflows with Python
• Candidates based in the United States, United Kingdom, Canada, Germany, Malaysia, or India
• Contributors available to begin promptly and complete the first task within 24–48 hours after onboarding

Compensation and Availability

The listed compensation range is $80–$150 per hour. Compensation is output-based: experts are paid per task that meets project specifications, and the time required for each task may vary according to experience and workflow.

Minimum submission requirements apply. The position is expected to require less than 20 hours per week, with flexible hours and days selected by you.

• Contractor and part-time engagement
• Flexible schedule, including optional weekend work
• Output-based payment per accepted task
• Project duration expected to be under one month

Application Process

To begin, apply through OpenTrain AI and complete the screening questions. Selected applicants then complete an approximately 30-minute AI interview followed by a hiring manager review.

OpenTrain AI typically fills roles within 48 hours. If selected, you should be ready to start your first task within 24–48 hours after completing onboarding.

• Apply to the role through OpenTrain AI
• Complete the screening questions
• Complete the approximately 30-minute AI interview
• Proceed through hiring manager review
• Complete onboarding and begin the first task within the required timeline