AI Data Trainer: Mechanical Engineer (Remote, Contract)

About The JobAt Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models.

About The JobAt 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/weekWhat You’ll Do

• Develop Complex Problems: Design advanced mechanical engineering problems across domains like FEA (Finite Element Analysis), 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.

• 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

• 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.

• 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.

• Submit your resume
• Complete a short screening
• Project matching and onboarding