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. 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

Design advanced engineering problems and author gold-standard technical solutions to train and evaluate AI models. Audit AI-generated outputs for technical accuracy and fix reasoning failures in complex engineering proofs.

Requires a Master's or PhD in Mechanical or Aerospace Engineering with strong foundational knowledge in core mechanics or thermodynamics. Candidates must be highly precise in mathematical derivations and capable of working independently in an asynchronous environment.

• Autonomy • Variety • Global Collaboration • Flexible Schedule

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Fluid Dynamics
• Thermodynamics
• Finite Element Analysis
• Heat Transfer
• Kinematics
• Material Science
• CAD/CAM
• Manufacturing Processes
• Technical Writing
• SolidWorks
• MATLAB
• ANSYS
• Data Annotation
• AI Evaluation
• ASME Standards
• ISO Standards

• Engineering
• Technology
• Science & Research
• Software
• Data & Analytics

Formation minimale

Maîtrise

Expérience minimale

0+ ans

Postuler avant le

23 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Exigences de lieu

Country, Vancouver, British Columbia, Canada

Niveau d’expérience

Entry level