Help shape the future of AI by designing challenging mechanical engineering problems that test and improve reasoning in cutting-edge models. Location: Remote Type: Contract / Part-time Commitment: 20 hours per week Compensation: Up to 40 USD / hr Project duration: 2 months, with potential extension Availability: Immediate start About the role We create high-quality STEM training data for frontier AI models. Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mechanical Engineering to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. Responsibilities Design advanced mechanical engineering problems for frontier AI training and evaluation Create deterministic problems with exactly one correct answer Write complete, verified solutions and clearly document the reasoning process Develop problems that test engineering analysis and multi-step reasoning, not just memorization Work across areas such as mechanics, thermodynamics, fluid mechanics, heat transfer, dynamics, and mechanical systems Where relevant, use Python, MATLAB, CAD/CAE tools, or specialized engineering software to validate solutions Ensure all outputs are technically precise, reproducible, and well-written in English Requirements Master’s or PhD in Mechanical Engineering or a closely related field Strong research or industry experience involving mechanical systems, engineering analysis, simulation, or mathematical modeling Strong quantitative and problem-solving skills Familiarity with numerical methods and computational engineering Ability to design original, difficult problems that mirror real mechanical engineering workflows Excellent attention to detail and technical writing skills in English Nice to have Experience with MATLAB, Python, ANSYS, Abaqus, SolidWorks, COMSOL, or similar tools Background in finite element analysis, computational fluid dynamics, optimization, or simulation Experience designing technical assessments, evaluating model reasoning, or developing engineering educational content
