Civil & Structural Engineering Task Lead (AI Projects)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 5h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 15h ago
The date the source published, not the day we noticed it (2026-10-14). Last seen at its source 1h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Bangladesh, Brazil, Colombia, Egypt, Ghana, India
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $80k–150k/yr
Middle 50% of 36 listings that do state pay — Engineering · all levels · Brazil · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Workable employer's own board first seen 5h ago · last seen 1h ago
The listing
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.