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You will solve and validate complex mechanical engineering problems by creating analytical or computational models. This involves reviewing engineering artifacts and ensuring they meet physical and design constraints.
Contribute to an AI training project by creating, solving, reviewing, and validating engineering tasks. The work spans engineering design, physical modeling, simulation, technical problem-solving, and Python, helping assess the quality of computational engineering work.
Solve and validate mechanical engineering problems across design, analysis, simulation, testing, and 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.
Review engineering artifacts and analyses against relevant physical and design constraints.
An MSc or PhD in Mechanical Engineering or a closely related engineering discipline, or a strong foundation in applied mechanics and mechanical engineering fundamentals.
Experience developing analytical, computational, or simulation-based engineering solutions.
Experience solving and validating mechanical engineering problems in design, analysis, simulation, testing, or research and development.
Experience translating engineering requirements into models and working with geometry, meshes, materials, loads, contacts, constraints, and solver inputs.
Practical proficiency with coding agents and experience with Python.
Compensation is $60 to $120 per hour. This is output-based contractor work, with payment per task that meets project specifications. The expected commitment is approximately 15 hours per week, with a flexible schedule. Visa sponsorship is not available.
Fully remote.
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