Mechanical Engineering

Gradient Consulting is seeking mechanical engineering experts to support cutting-edge AI research and model development. The role involves designing complex engineering problems, authoring ground-truth solutions, auditing AI-generated technical reasoning, and providing structured feedback to improve AI performance.

Responsibilities:

• Design Complex Engineering Problems — Craft advanced, multi-step problems across domains like FEA (Finite Element Analysis), heat transfer, kinematics, thermodynamics, and material science to rigorously test AI performance
• Author Ground-Truth Solutions — Write detailed, step-by-step technical solutions and benchmark responses that AI models use as the gold standard for learning
• Audit Technical Reasoning — Evaluate AI-generated outputs — including CAD logic, thermodynamic proofs, and material specifications — for accuracy, safety, and adherence to engineering standards (e.g., ASME, ISO)
• Refine AI Reasoning — Identify logical errors such as incorrect force distributions, energy conservation violations, or flawed assumptions, and provide structured feedback to improve how the model thinks

Requirements:

• Master's (pursuing or completed) 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, heat transfer, CAD/CAM, or manufacturing processes
• Able to explain complex physical phenomena and mathematical reasoning in clear, structured written form
• High precision when checking derivations, unit conversions, boundary conditions, and physical constraints
• No AI experience required
• Prior experience with data annotation, data quality, or evaluation workflows
• Proficiency in engineering software such as SolidWorks, MATLAB, or ANSYS
• Familiarity with how large language models (LLMs) are trained or evaluated