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. As a Mechanical Engineering AI Trainer, you'll use your deep domain expertise to challenge, evaluate, and improve how AI reasons through complex engineering problems. This is a unique chance to work at the intersection of engineering and artificial intelligence — no AI background required.

Organization: Alignerr

Type: Hourly Contract

Location: Remote

Commitment: 10–40 hours/week What You'll Do Design Advanced Engineering Problems — Create challenging, real-world problems spanning fluid dynamics, thermodynamics, FEA, heat transfer, kinematics, and material science to rigorously test AI performance

Author Gold-Standard Solutions — Write detailed, step-by-step technical solutions that serve as benchmarks for AI learning and model evaluation

Audit AI Reasoning — Review and evaluate AI-generated outputs including CAD logic, thermodynamic proofs, and material specifications for technical accuracy, safety, and compliance with engineering standards (e.g., ASME, ISO)

Identify & Fix Reasoning Failures — Spot logical errors such as incorrect force distributions or energy conservation violations, and provide structured feedback to improve the model's reasoning process





Work Flexibly and Independently — Complete task-based assignments on your own schedule, fully remote Who You Are Pursuing or holding a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field

Strong foundational knowledge in one or more core areas: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes

Able to communicate complex technical concepts and physical phenomena clearly in written form

Highly precise — you catch errors in mathematical derivations, unit conversions, and physical system constraints

Self-motivated and comfortable working independently in an async environment

No prior AI experience required Nice to Have Prior experience with data annotation, data quality, or AI evaluation systems

Proficiency with engineering software such as SolidWorks, MATLAB, or ANSYS

Familiarity with evaluating or reviewing technical code or simulation workflows Why Join Us Work on cutting-edge AI projects with top AI research labs and teams

Fully remote and flexible — work on your own schedule, anywhere in the world

Freelance perks: autonomy, variety, and global collaboration

Gain first-hand exposure to how advanced large language models (LLMs) are trained and evaluated

Make a meaningful impact by improving how AI understands and applies engineering knowledge

Potential for ongoing work and contract extension

📌 Mechanical Engineering (Vancouver)
🏢 Alignerr
📍 Vancouver