[R68RP6UZ] Pod Lead

Hello, Greetings from ZettaMine Freelancing Opportunity :
- We are hiring a Pod Lead – Mechanical & Aerospace Engineering (Terminal Bench Science) for a short-term Frontier AI Research, Engineering Simulation & AI Model Evaluation project across the following locations: Eligible Locations: 🇧🇩 Bangladesh | 🇧🇷 Brazil | 🇨🇴 Colombia | 🇪🇬 Egypt | 🇬🇭 Ghana | 🇮🇳 India | 🇮🇩 Indonesia | 🇰🇪 Kenya | 🇳🇬 Nigeria | 🇹🇷 Turkey | 🇻🇳 Vietnam Role: Pod Lead – Mechanical & Aerospace Engineering (Terminal Bench Science) Education Eligibility : PhD, postdoctoral experience, or equivalent advanced technical experience in Mechanical Engineering, Aerospace Engineering, or a closely related discipline Mode: Remote Start: Immediate Duration: 4 Weeks Mandatory Eligibility Criteria Technical Qualification:
• Strong programming skills in Python, C/C++, Fortran, Julia, or MATLAB/Octave, with proficiency in Linux environments.
• Hands-on expertise in at least one major area: Finite Element Analysis (FEA) | Computational Fluid Dynamics (CFD) | Dynamics | Flight Simulation | Thermal Modeling | Astrodynamics | Guidance, Navigation and Control (GNC) | Propulsion Modeling.
• Strong understanding of engineering simulation, numerical methods, computational modeling, and technical validation.
• Experience reviewing complex technical work, engineering simulations, computational models, or research outputs.
• Ability to evaluate engineering assumptions, numerical accuracy, solver convergence, boundary conditions, and computational results.
• Strong analytical skills to identify technical errors, unrealistic assumptions, edge cases, and flawed engineering methodologies.
• Experience mentoring technical teams, reviewing deliverables, and maintaining quality standards.
• Excellent written communication skills for providing precise technical feedback and documenting engineering requirements. Availability
• Minimum 40 hours per week.
• Availability to work at least 8 hours per day.
• Minimum 4 hours of overlap with PST business hours. What You’ll Work On
• Lead and mentor a pod of approximately 5–10 technical trainers developing realistic, terminal-based engineering tasks for a frontier AI training and evaluation initiative.
• Review engineering tasks end to end, including problem statements, geometry and mesh files, simulation inputs, material properties, reference solutions, and automated tests.
• Validate tasks involving FEA, CFD, thermodynamics, heat transfer, dynamics, robotics, flight simulation, propulsion, and orbital mechanics.
• Ensure tasks reflect realistic mechanical and aerospace engineering workflows and require meaningful multi-step technical reasoning.
• Verify engineering accuracy across units, equilibrium, conservation laws, boundary conditions, mesh convergence, solver tolerances, reference frames, and numerical stability.
• Validate computational environments, simulation tools, solvers, and dependencies to ensure reproducible results.
• Review automated graders to ensure they accurately evaluate engineering outputs such as stresses, deflections, natural frequencies, aerodynamic coefficients, thermal performance, orbital parameters, and safety margins.
• Identify technical inaccuracies, unrealistic assumptions, incorrect tolerances, and opportunities to bypass engineering calculations or simulations.
• Provide actionable technical feedback, track revisions, and ensure quality issues are resolved before task approval.
• Onboard trainers, allocate work, monitor quality and productivity, and resolve technical blockers.
• Maintain technical documentation, quality standards, and best practices throughout task development. Interested candidates: Please share your updated CV and LinkedIn profile at raviteja.k@zettamine.com. Thanks & Regards, RaviTeja K ZettaMine