You will design realistic engineering projects that help train and evaluate AI systems on mechanical design, engineering analysis, manufacturing, testing, and technical project execution.
The work includes turning complex engineering workflows into structured tasks with clear requirements, constraints, deliverables, dependencies, responsibilities, and evaluation criteria.
- Design projects involving mechanical design, engineering analysis, manufacturing, and testing.
- Coordinate contributions from experts across relevant technical disciplines.
- Turn project objectives into clear design requirements, operating constraints, and measurable acceptance criteria.
- Break complex engineering problems into connected tasks with defined inputs, deliverables, dependencies, and responsibilities.
- Support technical verification through testing and root-cause analysis.
What it pays and takes
This is a part-time contractor role. The work requires substantial professional experience in mechanical engineering leadership and the ability to structure complex technical projects for AI training.
- Pay: $200 to $300 per hour.
- Role type: Contractor and part time.
- 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.
- Language: English proficiency at B2 level or higher.
- Required experience: Chief Engineer, Senior Mechanical Engineer, or comparable technical leadership experience.
- Required expertise: Mechanical design, engineering analysis, multidisciplinary project leadership, design for manufacture and assembly, technical verification, testing, and root-cause analysis.
- Helpful background: A master's degree or PhD in Mechanical Engineering or a related engineering field.
- Helpful tools experience: CAD, finite element analysis, or other engineering simulation tools.
- Helpful project experience: Taking work from concept through detailed design, manufacturing, testing, and delivery.
- Relevant industries include aerospace, automotive, robotics, industrial equipment, energy, medical devices, and other complex engineering environments.
How it works
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.
The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 3 screening questions.
About AI training work
AI training work uses human expertise to create and review examples that help AI systems perform useful tasks. Experienced engineers are needed when projects require sound technical judgment, realistic constraints, and accurate evaluation.