Civil & Structural Engineering Task Lead (AI Projects)

• Review engineering tasks comprehensively, including problem statements, models, load cases, simulation data, computational environments, reference solutions, and automated tests.
• Validate tasks in areas such as structural analysis, finite-element analysis, earthquake and wind engineering, structural dynamics, geotechnical modeling, hydraulics, hydrology, transportation, and infrastructure systems.
• Ensure tasks require complex, multi-step engineering reasoning and reflect real-world civil and structural engineering workflows.
• Verify technical accuracy regarding units, equilibrium, boundary conditions, load combinations, design codes, numerical stability, convergence, and safety factors.
• Validate computational models, solvers, dependencies, and simulation outputs for accuracy and reproducibility.
• Review automated graders to confirm they assess meaningful engineering outputs like forces, deflections, drifts, settlements, safety factors, flow rates, and structural performance.
• Provide technical feedback, track task revisions, mentor 5–10 trainers, allocate work, monitor quality and productivity, and resolve technical issues.

• Hold a PhD, postdoctoral experience, or equivalent advanced expertise in Civil, Structural, Geotechnical Engineering, or a closely related field.
• Possess strong programming skills in Python, C/C++, Julia, Fortran, or MATLAB/Octave.
• Be proficient in Linux and command-line environments.
• Have hands-on experience in at least one key area such as structural analysis, finite-element analysis, earthquake engineering, geotechnical modeling, or hydraulic/hydrological modeling.
• Understand engineering principles, numerical methods, simulation workflows, and computational model validation.
• Have working knowledge of engineering design standards like ASCE 7, ACI, AISC, Eurocodes, or IS codes.
• Have experience reviewing complex technical work, simulations, research outputs, or computational models.
• Demonstrate strong analytical judgment to identify engineering inaccuracies and flawed assumptions.
• Have experience mentoring, reviewing, or leading small technical teams.
• Possess excellent written communication skills for providing technical feedback and documentation.

The employer has not published a closing date.