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 make it happen. This is a unique opportunity to apply your deep domain knowledge to one of the most consequential technology challenges of our time: teaching AI to reason correctly about the physical world.

You'll challenge advanced language models on topics like fluid dynamics, thermodynamics, structural mechanics, and mechatronics — stress-testing their reasoning, catching their mistakes, and helping them get better.

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

What You'll Do

• Design Advanced Engineering Problems — Create rigorous, domain-specific challenges across FEA, heat transfer, kinematics, material science, and more to probe the limits of AI reasoning.
• Author Ground-Truth Solutions — Write precise, step-by-step technical solutions that serve as the benchmarks AI models learn from.
• Audit AI Outputs — Evaluate AI-generated CAD logic, thermodynamic proofs, and material specifications for technical accuracy, safety, and compliance with engineering standards (ASME, ISO, etc.).
• Sharpen AI Reasoning — Identify and document logical failures — incorrect force distributions, energy conservation violations, flawed assumptions — and provide structured feedback that directly improves model performance.

Who You Are

• Advanced Degree in Mechanical Engineering, Aerospace Engineering, or a closely related field (Master's pursuing or completed, or PhD)
• Strong Domain Knowledge in core ME disciplines — solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes
• Clear Technical Communicator — able to explain complex physical phenomena and mathematical reasoning in writing with precision and clarity
• Detail-Oriented — meticulous when checking derivations, unit conversions, boundary conditions, and system constraints
• No prior AI or data annotation experience required

Nice to Have

• Experience with data annotation, quality evaluation, or technical review workflows
• Hands-on familiarity with engineering software such as SolidWorks, MATLAB, or ANSYS
• Background in research, academia, or technical writing

Why This Role

• Work fully remotely on a flexible schedule that fits around your existing commitments
• Contribute directly to cutting-edge AI development alongside top research labs
• Apply your engineering expertise in a novel, intellectually stimulating environment
• Gain firsthand exposure to how large language models are trained and evaluated
• Freelance autonomy — you choose when and how much you work
• Potential for ongoing contract extension based on performance