Mechanical Engineering

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 models — and we need mechanical engineers to help make it happen. This is your opportunity to apply deep domain expertise in a high-impact, flexible role that goes far beyond traditional engineering work.

You'll stress-test advanced AI systems on complex mechanical engineering problems, author authoritative solutions, and provide the structured technical feedback that shapes how next-generation AI reasons through real-world physics and engineering challenges.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Design Advanced Engineering Problems — Create challenging, domain-spanning problems across FEA, heat transfer, fluid dynamics, kinematics, thermodynamics, and material science to probe the limits of AI reasoning.
• Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions that serve as authoritative benchmarks for AI learning and evaluation.
• Audit Technical Outputs — Evaluate AI-generated CAD logic, thermodynamic proofs, and material specifications for accuracy, safety, and compliance with engineering standards (e.g., ASME, ISO).
• Sharpen AI Reasoning — Identify logical errors such as incorrect force distributions, energy conservation violations, or flawed structural assumptions, and provide structured feedback to improve model performance.
• Work Independently — Manage your own schedule and workload with full flexibility across asynchronous assignments.

Who You Are

• Holds or is pursuing a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field
• Strong foundational knowledge in one or more of: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes
• Able to communicate complex physical phenomena and technical derivations clearly in writing
• High attention to detail — precise with mathematical derivations, unit analysis, and physical system constraints
• Self-directed and comfortable working independently on challenging, open-ended tasks
• No prior AI experience required

Nice to Have

• Experience with data annotation, technical evaluation, or quality assurance workflows
• Familiarity with engineering software such as SolidWorks, ANSYS, or MATLAB
• Background in reviewing or applying engineering standards and codes

Why Join Us

• Work on cutting-edge AI projects alongside top research labs and teams
• Fully remote and flexible — design your own schedule around your life
• Freelance autonomy with meaningful, intellectually stimulating work
• Gain rare, firsthand exposure to how advanced large language models are trained and evaluated
• Potential for ongoing work and contract extension as new projects launch