Civil & Structural Engineering with PhD (AI Evaluation)

About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

About The Role We are seeking an experienced Civil or Structural Engineering Lead to oversee a team of technical trainers developing realistic, terminal-based engineering tasks for AI training and evaluation. You will review tasks for engineering accuracy, reproducibility, and automated grading reliability while mentoring a team of approximately 5-10 trainers. This role combines advanced engineering expertise, scientific computing, technical quality assurance, and team leadership to ensure tasks reflect authentic engineering workflows and require rigorous, multi-step problem-solving.

CONTRACT: Contractor assignment, 4 weeks

COMMITMENT: Hourly, up to 40h/week

LOCATIONS: Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam PROCESS: AI Interview

NOTES: PhD Degree is mandatory! Key Responsibilities

• Review engineering tasks end to end, including problem statements, structural and geotechnical models, load cases, simulation data, computational environments, reference solutions, and automated tests
• Validate tasks covering structural analysis, finite-element analysis (FEA), earthquake and wind engineering, structural dynamics, geotechnical modeling, hydraulics, hydrology, transportation, and infrastructure systems
• Ensure tasks require meaningful, multi-step engineering reasoning and reflect real-world civil and structural engineering workflows
• Verify technical correctness across 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 ensure they assess meaningful engineering outputs, including forces, deflections, drifts, settlements, factors of safety, flow rates, and structural performance
• Identify incorrect assumptions, technical errors, unsuitable tolerances, and opportunities to bypass genuine engineering analysis
• Provide actionable technical feedback and track task revisions through completion
• Mentor and support 5-10 trainers, allocate work, monitor quality and productivity, and resolve technical blockers
• Establish and maintain quality standards, technical documentation, and best practices across task development

Requirements

• PhD, postdoctoral experience, or equivalent advanced technical expertise in Civil Engineering, Structural Engineering, Geotechnical Engineering, or a closely related discipline
• Strong programming skills in Python, C/C++, Julia, Fortran, or MATLAB/Octave
• Proficiency working in Linux and command-line environments
• Hands-on expertise in at least one major area, such as structural analysis, FEA, earthquake engineering, geotechnical modeling, or hydraulic/hydrological modeling
• Strong understanding of engineering principles, numerical methods, simulation workflows, and computational model validation
• Working knowledge of relevant engineering design standards, such as ASCE 7, ACI, AISC, Eurocodes, or IS codes
• Experience reviewing complex technical work, engineering simulations, research outputs, or computational models
• Strong analytical judgment and the ability to identify engineering inaccuracies, edge cases, and flawed assumptions
• Experience mentoring, reviewing, or leading small technical teams
• Excellent written communication skills for technical feedback and documentation