Mechanical Engineer for AI Model Training

Apply mechanical engineering expertise, scientific computing, and Python to develop and validate technical tasks used in advanced AI training. This coding-intensive contract role focuses on engineering design, physical modeling, simulation, technical problem-solving, and rigorous verification across structural, thermal, mechanical, and multiphysics domains.

• Create, solve, review, and validate mechanical engineering tasks involving design, analysis, simulation, testing, or research and development.
• Translate physical systems, design requirements, and engineering constraints into analytical or computational models.
• Create or modify geometry, meshes, materials, loads, contacts, constraints, boundary conditions, and solver inputs.
• Perform structural, thermal, dynamic, fatigue, buckling, vibration, and related engineering analyses.
• Use Python to automate model preparation, simulations, parameter sweeps, optimization, postprocessing, verification, and related engineering workflows.
• Assess whether simulation outputs, engineering artifacts, and analyses satisfy applicable physical requirements and design constraints.

• MS or PhD in Mechanical Engineering or a closely related engineering discipline, or a BS in Mechanical Engineering with at least 1 to 2 years of relevant professional experience.
• Professional experience may include mechanical design, engineering analysis, simulation, testing, or research and development.
• Strong understanding of applied mechanics and core mechanical engineering fundamentals.
• Experience developing analytical, computational, or simulation-based engineering solutions.
• Practical proficiency with Python and experience incorporating coding agents into Python-based workflows.
• Experience with programmatic engineering software such as CalculiX, Gmsh, Elmer, FEniCSx, CadQuery, OpenSCAD, OpenFOAM, or comparable tools. Equivalent command-line-accessible engineering software is acceptable.
• Relevant Python experience may include NumPy, SciPy, SymPy, pandas, Matplotlib, Jupyter, CAD or meshing APIs, finite-element libraries, optimization packages, or other domain-specific scientific tools. No single library is required.

• Independent contractor engagement.
• Approximately 15 hours per week.
• Fully remote and open to candidates globally.
• Flexible schedule, with experts choosing the days and hours they work, including weekends if preferred.
• This is a coding-heavy role and requires substantial use of Python-based engineering workflows.
• The hiring process is typically completed within 48 hours, and candidates should be prepared to begin quickly.
• If selected, the first task is expected to begin within 24 to 48 hours after onboarding is completed.

• Advertised rate: $80 to $150 per hour.
• Compensation is output-based, with payment issued for individual tasks that meet project specifications.
• Task completion time can vary based on the expert''s experience and workflow.
• Minimum submission requirements apply.

• Submit an application and complete the screening questions.
• Complete an approximately 30-minute AI interview.
• Applications that progress are reviewed by the hiring manager.
• Selected candidates complete onboarding before beginning their first assigned task.

Work is provided through project-based assignments, and task timing and availability may depend on current project needs and the selection process.