Mechanical Engineering Expert (MSc or PhD)

You will create, solve, review, and validate engineering tasks used to train AI systems. The work covers engineering design, physical modeling, simulation, technical problem-solving, Python, and coding-agent workflows.

You will use engineering judgment to assess whether computational artifacts and analyses meet physical and design constraints across structural, thermal, mechanical, and multiphysics problems.

• Translate physical systems and engineering requirements into analytical or computational models.
• Generate or modify geometry and meshes, then define materials, loads, contacts, boundary conditions, constraints, and solver inputs.
• Run simulations and evaluate the resulting artifacts and analyses.
• Solve and validate problems involving mechanical design, analysis, simulation, testing, and research and development.
• Create technically rigorous task content and review solutions against engineering requirements.

This is a fully remote contractor opportunity with flexible scheduling.

• $60 to $120 per hour equivalent, paid per task that meets the project specifications.
• Approximately 15 hours per week with flexible scheduling.
• Fully remote contractor work.
• Location: Open to candidates in Algeria, Argentina, Austria, Bahrain, Bangladesh, Belgium, Brazil, Canada, Chile, Colombia, Denmark, Egypt, France, Germany, Ghana, Greece, India, Indonesia, Italy, Japan, Jordan, Kazakhstan, Kenya, Kuwait, Kyrgyzstan, Lebanon, Malaysia, Mexico, Morocco, the Netherlands, Nigeria, Oman, Pakistan, Palestinian Territories, Peru, the Philippines, Portugal, Qatar, Saudi Arabia, Singapore, South Africa, Spain, Sri Lanka, Switzerland, Taiwan, Thailand, Tunisia, the United Arab Emirates, the United Kingdom, the United States, Uzbekistan, and Vietnam.
• Fluent in English.
• MS or PhD in Mechanical Engineering or a closely related engineering discipline, or strong applied-mechanics and mechanical-engineering fundamentals.
• Experience developing analytical, computational, or simulation-based engineering solutions.
• Practical proficiency with coding agents.
• Working knowledge of Python for engineering problem-solving.
• Ability to reason across structural, thermal, mechanical, and multiphysics problems.

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

AI training is the human work behind systems that learn from examples, including technical problems, code, and evaluated solutions. People with engineering expertise help prepare and review accurate examples so AI systems can handle specialist work more reliably.