You will apply mechanical engineering principles and computational techniques to develop, evaluate, and validate engineering problems and their solutions. Your responsibilities will include:

• Solve and validate mechanical engineering problems involving design, analysis, simulation, testing, and research and development.

• Translate physical systems, design specifications, and engineering requirements into appropriate analytical or computational models.

• Develop, modify, and evaluate engineering geometry and meshes for simulation and analysis tasks.

• Configure materials, loads, boundary conditions, contacts, constraints, and solver inputs to accurately represent physical systems.

• Conduct and assess engineering simulations across structural, thermal, mechanical, and multiphysics applications.

• Evaluate simulation results and determine whether the resulting models, artifacts, and analyses satisfy applicable physical principles and design constraints.

• Create, review, and refine technical engineering tasks used to support AI training and evaluation.

• Apply coding-intensive workflows to develop computational solutions, automate engineering processes, and validate technical outputs.

• Use AI coding agents as part of the engineering workflow to support implementation, problem-solving, and technical validation.

• Identify errors, inconsistencies, or limitations in engineering models and propose appropriate corrections based on sound engineering judgment.

Requirements:

The ideal candidate combines advanced mechanical engineering knowledge with practical experience in analytical modeling, computational engineering, and simulation-based problem-solving. You should be comfortable working in a coding-intensive environment and using AI coding agents as part of your technical workflow. The key qualifications include:

• A Master's degree or PhD in Mechanical Engineering or a closely related engineering discipline, or an equivalent level of expertise supported by a strong understanding of applied mechanics and mechanical engineering fundamentals.

• Strong knowledge of mechanical engineering principles and the ability to apply them to complex technical problems.

• Experience developing analytical, computational, or simulation-based engineering solutions.

• Understanding of engineering design, physical modeling, simulation workflows, and technical validation.

• Ability to translate physical requirements into mathematical or computational representations.

• Familiarity with engineering simulation concepts, including geometry, meshes, material properties, loads, boundary conditions, contacts, constraints, and solver configuration.

• Practical proficiency with AI coding agents and the ability to incorporate them effectively into engineering workflows.

• Strong coding and technical problem-solving capabilities, with a willingness to work extensively with computational tools.

• Excellent analytical reasoning, attention to detail, and the ability to assess whether technical outputs are consistent with physical laws and engineering constraints.

• Ability to work independently, manage assigned tasks, and deliver accurate, well-validated results.

Benefits:

• Fully remote work arrangement, open worldwide.

• Compensation of $60–$120 per hour, depending on the engagement and applicable terms.

• Independent contractor or freelance arrangement.

• Initial 12-month contract.

• Part-time workload of approximately 15 hours per week.

• Opportunity to contribute to AI training and evaluation projects using advanced mechanical engineering expertise.

• Exposure to challenging engineering problems involving design, simulation, computational modeling, and AI-assisted coding.

• Opportunity to apply specialized technical knowledge to the development and validation of AI systems.

• Start date as soon as possible.