Mechnical Engineering Expert

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Mechanical Engineering Expert based in Brazil. We are seeking an experienced mechanical engineering professional to contribute to the development and evaluation of advanced artificial intelligence systems. In this fully remote, contract-based role, you will leverage your technical expertise to design realistic engineering challenges that test AI models against real-world industry standards and workflows. Your work will span mechanical design, CAD modeling, manufacturing processes, engineering calculations, and simulation analysis. You will develop technical assessments, validate engineering solutions, and identify design flaws, calculation errors, and manufacturing constraints. Working alongside technical contributors, you will help establish reliable reference solutions and objective evaluation criteria that improve the accuracy and practical capabilities of AI systems. This opportunity is ideal for a detail-oriented engineer who enjoys complex problem-solving and wants to apply their expertise to the evolving intersection of engineering and artificial intelligence.

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