Mechnical Engineering Expert

<h3>Accountabilities:</h3><li>
<strong>Design engineering assessment tasks:</strong>Develop realistic mechanical engineering challenges based on product development, manufacturing, and industrial engineering workflows to evaluate the capabilities of advanced AI models.</li><li>
<strong>Create and review CAD designs:</strong>Produce and assess 2D technical drawings, 3D CAD models, mechanical assemblies, and engineering specifications, ensuring compliance with design requirements.</li><li>
<strong>Evaluate mechanical design solutions:</strong>Develop tasks involving component design, material selection, tolerance analysis, and mechanical optimization to assess engineering accuracy and practical feasibility.</li><li>
<strong>Perform engineering calculations:</strong>Prepare and validate calculations related to stress, strain, forces, thermal behavior, and overall mechanical performance, ensuring technical soundness and traceability.</li><li>
<strong>Analyze engineering simulations:</strong>Interpret and assess simulation outputs, including finite element analysis (FEA), computational fluid dynamics (CFD), and manufacturing simulations, where applicable.</li><li>
<strong>Identify technical issues:</strong>Detect design inconsistencies, flawed assumptions, manufacturing limitations, tolerance conflicts, and potential mechanical failures.</li><li>
<strong>Develop reference solutions:</strong>Create technically accurate model answers supported by traceable calculations, clear engineering explanations, and well-documented assumptions.</li><li>
<strong>Validate AI-generated engineering outputs:</strong>Review AI-produced designs, calculations, technical documentation, and simulation interpretations for accuracy, feasibility, and alignment with project specifications.</li><li>
<strong>Collaborate on evaluation frameworks:</strong>Work with technical contributors to develop reproducible engineering tasks, establish objective evaluation criteria, and improve the quality of AI training and assessment data.</li><h2>Requirements:</h2><li>
<strong>Educational qualifications:</strong>A bachelor's degree or higher in Mechanical Engineering, Mechatronics, Manufacturing Engineering, or a closely related technical discipline.</li><li>
<strong>Relevant professional experience:</strong>Substantial hands-on experience in mechanical design, product development, manufacturing engineering, or engineering analysis.</li><li>
<strong>Mechanical engineering expertise:</strong>Strong understanding of mechanical systems, engineering materials, manufacturing processes, and fundamental engineering principles.</li><li>
<strong>CAD proficiency:</strong>Practical experience with computer-aided design software such as SolidWorks, Autodesk Inventor, Fusion 360, CATIA, or Siemens NX.</li><li>
<strong>Technical drawing interpretation:</strong>Ability to interpret engineering drawings, technical specifications, component assemblies, and design requirements accurately.</li><li>
<strong>Engineering calculations and validation:</strong>Experience performing mechanical calculations, assessing design performance, and validating engineering decisions against technical requirements.</li><li>
<strong>Analytical problem-solving:</strong>Strong analytical thinking and attention to detail, with the ability to identify technical inconsistencies, evaluate design trade-offs, and propose sound engineering solutions.</li><li>
<strong>Technical documentation:</strong>Ability to document engineering workflows, explain technical decisions, and communicate assumptions and conclusions clearly and systematically.</li><li>
<strong>English proficiency:</strong>Strong written English skills to prepare technical explanations, document assessment tasks, and collaborate effectively with a distributed team.</li><li>
<strong>Advanced academic background:</strong>A master's degree or PhD in Mechanical Engineering or a related discipline is an advantage.</li><li>
<strong>Simulation expertise:</strong>Familiarity with FEA, CFD, or other engineering simulation tools is desirable.</li><li>
<strong>Industry standards knowledge:</strong>Experience with geometric dimensioning and tolerancing (GD&amp;T), manufacturing tolerances, and applicable engineering standards is beneficial.</li><li>
<strong>Manufacturing technologies:</strong>Knowledge of CNC machining, additive manufacturing, industrial automation, or related production technologies is a plus.</li><li>
<strong>Programming and automation:</strong>Familiarity with Python, MATLAB, or tools for automating engineering workflows is advantageous.</li><li>
<strong>AI assessment experience:</strong>Previous experience evaluating AI-generated technical outputs or developing engineering assessments is a strong advantage.</li><h2>Benefits:</h2><li>
<strong>Competitive hourly compensation:</strong>Earn between $30 and $60 USD per hour, depending on your expertise and experience.</li><li>
<strong>Fully remote opportunity:</strong>Work remotely from Brazil in a flexible, location-independent environment.</li><li>
<strong>Part-time contract:</strong>Approximately 20 hours per week, allowing flexibility alongside other professional commitments.</li><li>
<strong>Defined project timeline:</strong>An initial two-month engagement, with the possibility of extension depending on project requirements.</li><li>
<strong>Immediate start:</strong>Opportunity to begin contributing as soon as possible.</li><li>
<strong>Meaningful technical impact:</strong>Apply your mechanical engineering expertise to improve the accuracy, reliability, and practical capabilities of advanced AI systems.</li><li>
<strong>Challenging technical work:</strong>Engage with complex engineering problems involving CAD, mechanical design, manufacturing, calculations, and simulations.</li><li>
<strong>Cross-functional collaboration:</strong>Work with technical contributors to develop high-quality engineering assessments and robust evaluation methodologies.</li><li>
<strong>Professional development:</strong>Gain exposure to emerging AI technologies and contribute to the evolution of AI-assisted engineering workflows.</li>