Mechanical Engineering AI Trainer
About the Role
We're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI systems - and we need mechanical engineers to make it happen. As a Mechanical Engineering AI Trainer, you'll put your deep domain expertise to work by challenging, auditing, and refining how advanced AI models reason through real engineering problems.
This is a rare opportunity to work at the intersection of engineering and artificial intelligence - without leaving your home office.
About the Role
We're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI systems - and we need mechanical engineers to make it happen. As a Mechanical Engineering AI Trainer, you'll put your deep domain expertise to work by challenging, auditing, and refining how advanced AI models reason through real engineering problems.
This is a rare opportunity to work at the intersection of engineering and artificial intelligence - without leaving your home office.
- Organization
: Alignerr - Type
: Hourly Contract - Location
: Fully Remote - Commitment
: 10-40 hours/week (flexible)
- Design Complex Engineering Problems
- Craft advanced, domain-specific challenges spanning FEA (Finite Element Analysis), heat transfer, fluid dynamics, kinematics, thermodynamics, and material science to rigorously test AI capabilities. - Author Ground-Truth Solutions
- Develop precise, step-by-step technical solutions and benchmark "golden responses" that AI models learn from and are evaluated against. - Audit Technical Reasoning
- Review AI-generated outputs including CAD logic, thermodynamic derivations, and material specifications for accuracy, safety, and compliance with engineering standards (ASME, ISO, etc.). - Identify and Correct Reasoning Failures
- Spot logical errors such as incorrect force distributions, energy conservation violations, or flawed kinematic assumptions, and provide structured feedback that directly improves AI reasoning.
- Highly Educated in the Field
- Master's degree (in progress or completed) or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related discipline. - Deep Domain Knowledge
- Strong foundational expertise in one or more of: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes. - A Clear Technical Communicator
- Able to translate complex physical phenomena and mathematical derivations into clear, structured written explanations. - Precise and Detail-Oriented
- Meticulous when reviewing mathematical proofs, unit conversions, boundary conditions, and physical system constraints. - No AI experience required
- if you know engineering, we'll handle the rest.
- Prior experience with data annotation, technical writing, or evaluation systems
- Proficiency with engineering software such as SolidWorks, ANSYS, or MATLAB
- Familiarity with AI/ML workflows or large language model evaluation
- Work on the Cutting Edge
- Collaborate directly with teams building the most advanced AI models in the world. - Full Flexibility
- Work remotely on your own schedule, fitting the role around your existing commitments. - Meaningful Impact
- Your engineering expertise directly shapes how AI understands and reasons about the physical world. - Autonomy
- No micromanagement. You own your work and deliver with independence. - Freelance Freedom
- Enjoy the perks of contract work: flexibility, variety, and global collaboration. - Potential for Ongoing Work
- High-quality contributors are regularly offered contract extensions.