
Mechanical and Aerospace Engineering Task Lead – AI Project
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in Pakistan, +5 more countries.
• Oversee and guide a team of 5–10 technical trainers, ensuring the quality of tasks, productivity, and timely completion.
• Conduct thorough reviews of engineering tasks from start to finish, encompassing problem statements, geometry and mesh files, simulation inputs, material properties, reference solutions, and automated tests.
• Validate tasks that involve finite-element analysis (FEA), computational fluid dynamics (CFD), thermodynamics, heat transfer, dynamics, robotics, flight simulation, propulsion, and orbital mechanics.
• Ensure that tasks accurately represent realistic workflows in mechanical and aerospace engineering and necessitate significant, multi-step technical reasoning.
• Confirm engineering correctness across various aspects, including units, equilibrium, conservation laws, boundary conditions, mesh convergence, solver tolerances, reference frames, and numerical stability.
• Validate computational environments, simulation tools, solvers, and dependencies to guarantee reproducible outcomes.
• Review automated grading systems to ensure they evaluate significant engineering outputs, including stresses, deflections, natural frequencies, aerodynamic coefficients, thermal performance, orbital parameters, and safety margins.
• Identify technical inaccuracies, unrealistic assumptions, incorrect tolerances, and opportunities to avoid legitimate engineering calculations or simulations.
• Provide constructive technical feedback, monitor revisions, and ensure quality issues are addressed prior to task approval.
• Onboard trainers, assign work, oversee quality and throughput, resolve technical challenges, and maintain technical documentation and best practices.
• Act as a senior/technical lead on advanced AI training and evaluation tasks for Gramian Consultancy’s engineering talent solutions.
• PhD, postdoctoral experience, or equivalent advanced technical expertise in Mechanical Engineering, Aerospace Engineering, or a closely related field.
• Strong programming proficiency in Python, C/C++, Fortran, Julia, or MATLAB/Octave.
• Expertise in Linux and command-line environments.
• Practical experience in at least one major area, such as FEA, CFD, dynamics, flight simulation, thermal modeling, astrodynamics, guidance, navigation and control (GNC), or propulsion modeling.
• In-depth understanding of engineering simulation, numerical methods, computational modeling, and technical validation.
• Experience in reviewing complex technical work, engineering simulations, computational models, or research outputs.
• Ability to evaluate engineering assumptions, numerical accuracy, solver convergence, and computational reliability.
• Strong analytical skills with the capability to identify technical errors, edge cases, and flawed engineering assumptions.
• Experience in mentoring, reviewing, or leading small technical teams.
• Excellent written communication skills for providing precise technical feedback and documentation.
• Minimum commitment of 40 hours per week.
• Proficient in written English.
• Competitive salary and performance-based bonuses.
• Opportunities for professional development and continuing education.
• Flexible working hours and potential remote work options.
• Collaborative and innovative work environment.
• Comprehensive health and wellness benefits.
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