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Open nowPosted 21 hours ago

Civil & Structural Engineering Task Lead (AI Projects)

Workable (global search)107,710 open roles

Where
Bangladesh
Work mode
Remote
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Your applicationOpen nowCivil & Structural Engineering Task Lead (AI Projects)Workable (global search) · Bangladesh

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Early applications get read.

9.8% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 5 days.

Share of postings closed within
  1. 1.9%1 day
  2. 3.9%3 days
  3. 9.8%7 days
  4. 15.5%14 days
  5. 33.7%30 days
This job: posted 21 hours ago

Workable (global search) median: 5 days open

The posting

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.
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