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You will contribute to an AI training project by creating, solving, and validating complex mechanical engineering tasks. This involves translating physical systems into computational models and utilizing Python for engineering workflows.
Contribute to an AI training project by creating, solving, reviewing, and validating engineering tasks. The work applies mechanical engineering expertise to design, physical modeling, simulation, and technical problem-solving.
Solve and validate mechanical engineering problems involving design, analysis, simulation, testing, or research and development.
Translate physical systems and engineering requirements into analytical or computational models.
Create or modify geometry, meshes, materials, loads, contacts, constraints, and solver inputs.
Use Python and coding agents as part of a coding-heavy engineering workflow.
An MSc or PhD in mechanical engineering or a closely related engineering discipline, or strong knowledge of applied mechanics and mechanical engineering fundamentals.
Experience developing analytical, computational, or simulation-based engineering solutions.
Practical proficiency with coding agents and experience using Python.
Experience solving and validating mechanical engineering problems and translating requirements into models.
Ability to create or modify simulation geometry, meshes, materials, loads, contacts, constraints, and solver inputs.
Compensation is $60 to $120 per hour, paid per task that meets project specifications. This is a contractor role with approximately 15 hours of work per week. Visa sponsorship is not available.
Fully remote, available globally. Schedule is flexible.
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