Mechanical Engineer (Remote | $30–$70/hr)

About the Job Mechanical Engineering Expert Location: Remote Engagement Type: Hourly Contract Compensation: $30–$70/hour About the Opportunity This opportunity is for experienced Mechanical Engineering professionals interested in contributing to advanced AI evaluation and training projects. You will apply your expertise to help develop enterprise-grade engineering scenarios, evaluation frameworks, and reference solutions that improve the reasoning capabilities of next-generation AI systems. The work focuses on real-world product design, manufacturing, engineering analysis, and regulatory processes commonly found in Fortune 500 industrial environments. Ideal Qualifications • Bachelor's or Master's degree in Mechanical Engineering or a related discipline. • 5+ years of experience in mechanical engineering, product development, manufacturing, aerospace, automotive, industrial, or related industries. • Strong expertise in product design, CAD modeling, manufacturing engineering, and engineering analysis. • Experience with tools such as SolidWorks, CATIA, ANSYS, MATLAB/Simulink, Teamcenter, or Windchill. • Knowledge of GD&T, DFM/DFA, Six Sigma, FEA, CFD, and engineering validation processes. • Familiarity with ASME, ISO, FAA, FDA, or other relevant engineering standards. • Strong written and verbal communication skills with attention to technical accuracy. Responsibilities • Design enterprise-level mechanical engineering scenarios based on real-world product development and manufacturing workflows. • Develop tasks involving CAD design, engineering analysis, manufacturing processes, and reliability engineering. • Create reference solutions, engineering documentation, and technical evaluations. • Apply industry-standard methodologies including FEA, CFD, GD&T, DFM/DFA, and Six Sigma principles. • Evaluate engineering outputs for technical accuracy, feasibility, and professional quality. • Author detailed rubrics and evaluation criteria to assess engineering reasoning and decision-making. • Collaborate with project teams to improve AI performance on complex engineering tasks. Preferred Qualifications • Experience working at large industrial, aerospace, automotive, manufacturing, or Fortune 500 organizations. • Direct involvement in product certification, validation, or large-scale engineering programs. • Professional Engineering (PE), CEng, EUR ING, or equivalent credential. • Experience creating engineering training materials, technical documentation, or evaluation frameworks. • Exposure to AI evaluation, technical content review, or engineering education projects. Project Details • Fully remote and flexible schedule. • Independent contractor engagement. • Opportunity for ongoing project extensions based on performance and business needs. Compensation • Competitive compensation of $30–$70/hour. • Weekly payments. • Independent contractor engagement. Application Process • Easy Apply on LinkedIn. • Check Email for Next Steps. • Participate in Resume Evaluation & Interview Stage. Show more Show less

Bachelor's or Master's degree in Mechanical Engineering or a related discipline. 5+ years of experience in mechanical engineering, product development, manufacturing, aerospace, automotive, industrial, or related industries. Strong expertise in product design, CAD modeling, manufacturing engineering, and engineering analysis. Experience with SolidWorks, CATIA, ANSYS, MATLAB/Simulink, Teamcenter, or Windchill. Knowledge of GD&T, DFM/DFA, Six Sigma, FEA, CFD, and engineering validation processes. Familiarity with ASME, ISO, FAA, FDA, or other relevant engineering standards.

Design enterprise-level mechanical engineering scenarios based on real-world product development and manufacturing workflows. Develop tasks involving CAD design, engineering analysis, manufacturing processes, and reliability engineering. Create reference solutions, engineering documentation, and technical evaluations. Apply industry-standard methodologies including FEA, CFD, GD&T, DFM/DFA, and Six Sigma principles. Evaluate engineering outputs for technical accuracy, feasibility, and professional quality. Author detailed rubrics and evaluation criteria to assess engineering reasoning and decision-making. Collaborate with project teams to improve AI performance on complex engineering tasks.