Mechanical & Aerospace Engineering Task Lead (AI Project)

• Lead and guide a team of 5 to 10 technical trainers to maintain task quality and meet deadlines.
• Review engineering tasks comprehensively, including problem statements, simulation inputs, and reference solutions.
• Validate tasks related to finite-element analysis, computational fluid dynamics, thermodynamics, dynamics, robotics, flight simulation, propulsion, and orbital mechanics.
• Ensure tasks represent realistic engineering workflows requiring complex technical reasoning.
• Check engineering accuracy in units, equilibrium, conservation laws, boundary conditions, mesh convergence, solver tolerances, reference frames, and numerical stability.
• Confirm computational environments and simulation tools produce reproducible results.
• Examine automated graders to verify they assess relevant engineering outputs such as stresses, deflections, aerodynamic coefficients, thermal performance, orbital parameters, and safety margins.
• Identify technical errors, unrealistic assumptions, incorrect tolerances, and ways tasks might be bypassed.
• Provide detailed technical feedback, monitor revisions, and ensure quality before task approval.
• Onboard trainers, assign work, monitor quality and productivity, resolve technical issues, and maintain documentation and best practices.

• Hold a PhD, postdoctoral experience, or equivalent advanced expertise in Mechanical Engineering, Aerospace Engineering, or a closely related field.
• Have strong programming skills in Python, C/C++, Fortran, Julia, or MATLAB/Octave.
• Be proficient in Linux and command-line environments.
• Possess practical experience in at least one key area such as finite-element analysis, computational fluid dynamics, dynamics, flight simulation, thermal modeling, astrodynamics, guidance, navigation and control, or propulsion.
• Understand engineering simulation, numerical methods, computational modeling, and technical validation.
• Have experience reviewing complex technical work, including engineering simulations, computational models, or research outputs.
• Be capable of assessing engineering assumptions, numerical accuracy, solver convergence, and computational reliability.
• Demonstrate strong analytical skills to detect technical errors, edge cases, and flawed assumptions.
• Have experience mentoring, reviewing, or leading small technical teams.
• Exhibit excellent written communication skills for precise technical feedback and documentation.

Apply through the employer's official contact by submitting your application before the closing date. The employer has not published a closing date.