About the Job
At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models.
You'll challenge advanced language models on topics like fluid dynamics, thermodynamics, structural mechanics, and mechatronics—documenting every failure mode so we can harden model reasoning.
Organization: Alignerr – Position: Mechanical Engineering – AI Data Trainer – Type: Hourly Contract – Compensation: $35–$60/hour – Location: Remote – Commitment: 10–40 hours/week
What You'll Do
* Develop complex problems: design advanced mechanical engineering problems across domains like FEA, heat transfer, kinematics, and material science to test AI performance.
* Author ground‐truth solutions: create rigorous, step‐by‐step technical solutions and "golden responses" that the AI will use as a benchmark for learning.
* Technical auditing: evaluate AI-generated CAD logic, thermodynamic proofs, and material specifications for technical accuracy, safety, and adherence to engineering standards (e.g., ASME, ISO).
* Refine reasoning: identify logical fallacies in AI reasoning—such as incorrect force distributions or energy conservation violations—and provide structured feedback to improve the model's thinking process.
Requirements
* Advanced degree: Masters (pursuing or completed) or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field.
* Domain expertise: strong foundational knowledge in core areas such as solid mechanics, fluid mechanics, CAD/CAM, or manufacturing processes.
* Analytical writing: the ability to communicate highly technical concepts and complex physical phenomena clearly and concisely in written form.
* Attention to detail: high level of precision when checking mathematical derivations, unit conversions, and physical system constraints.
* No AI experience required.
Preferred
* Prior experience with data annotation, data quality, or evaluation systems.
* Proficiency in engineering software concepts (e.g., SolidWorks, MATLAB, ANSYS) to evaluate AI-generated code or workflows.
Why Join Us
* Competitive pay and flexible remote work.
* Collaborate with a team working on cutting‐edge AI projects.
* Exposure to advanced LLMs and how they're trained.
* Freelance perks: autonomy, flexibility, and global collaboration.
* Potential for contract extension.
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