About this role · Coding
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 opportunity 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