# Civil & Structural Engineering Task Lead (AI Projects)

**Company:** [Gramian Consulting Group](https://jobs.workable.com/companies/kANY7hHLXDH7fUqyifRLmf.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Contract
**Department:** Talent Solutions

[Apply for this job](https://jobs.workable.com/view/18e68654-0652-4ff8-b4d4-b7c5e1f59cbe)

## Description

**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.

**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.