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Managed by ExpertWoka ExpertWoka Sourcing

Pod lead - Civil and structural engineering

Posted 2026-10-20
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Work Type
Remote
Location
Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam
Compensation
Max rate: $20/hr

About this opportunity

Overview

We are seeking an experienced Civil or Structural Engineering expert to lead a pod of trainers building realistic, terminal-based technical tasks for an AI evaluation project. You will review engineering tasks for correctness, reproducibility, and grader reliability, and provide coaching to help maintain high-quality outputs.

Responsibilities

  • Review engineering tasks end to end, including problem statements, models, load cases, simulation data, computational environments, reference solutions, and automated tests.
  • Validate tasks involving structural analysis, finite-element methods, earthquake and wind engineering, structural dynamics, geotechnical modeling, hydraulics, hydrology, transportation, and infrastructure systems.
  • Ensure tasks require genuine multi-step engineering reasoning and reflect realistic civil and structural engineering workflows.
  • Verify engineering accuracy across units, equilibrium, boundary conditions, load combinations, design codes, numerical stability, convergence, and safety factors.
  • Validate computational models, solvers, dependencies, and simulation results for reproducibility and technical correctness.
  • Review automated graders to ensure they evaluate meaningful engineering outputs such as forces, deflections, drifts, settlements, factors of safety, flow rates, and structural performance.
  • Identify technical errors, unrealistic assumptions, incorrect tolerances, and opportunities to bypass engineering analysis.
  • Provide clear, actionable feedback to task developers and track revisions through completion.
  • Mentor and support technical trainers, allocate work, monitor quality and productivity, and resolve technical blockers.
  • Maintain quality standards, technical documentation, and best practices across engineering task development.

Requirements

  • Ph.D., postdoctoral experience, or equivalent advanced technical experience in Civil Engineering, Structural Engineering, Geotechnical Engineering, or a closely related discipline.
  • Strong programming experience in Python, C/C++, Julia, Fortran, or MATLAB/Octave, with proficiency in Linux environments.
  • Hands-on expertise in at least one major area: structural analysis, FEA, earthquake engineering, geotechnical modeling, or hydraulic/hydrological modeling.
  • Strong understanding of engineering principles, numerical methods, simulation workflows, and model validation.
  • Working knowledge of 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 with the ability to identify technical inaccuracies, edge cases, and flawed engineering assumptions.
  • Experience mentoring, reviewing, or leading small technical teams.
  • Excellent written communication skills for providing precise technical feedback and documenting quality standards.

Schedule

  • Short-term contract of 4 weeks.
  • Minimum 40 hours per week.
  • At least 4 hours per day.
  • Requires 4 hours of overlap with PST.
  • Start date: immediate.

Preferred Qualifications

  • Experience with engineering simulation and analysis tools such as OpenSees/OpenSeesPy, Code_Aster, CalculiX, FEniCS, Gmsh, PyNite, EPANET, SWMM, HEC-RAS, MODFLOW, SUMO, QGIS, or GDAL.
  • Familiarity with commercial engineering software such as SAP2000, ETABS, Abaqus, PLAXIS, or STAAD.Pro.
  • Experience with nonlinear time-history analysis, performance-based design, reliability analysis, or structural health monitoring.
  • Familiarity with Docker, Git, CI/CD pipelines, and automated testing.
  • Experience developing or evaluating AI coding agents, terminal-based agents, or AI-generated engineering solutions.
  • Professional engineering licensure such as PE, SE, CEng, or equivalent.
  • Industry experience working on buildings, bridges, transportation networks, water systems, or major infrastructure projects.
  • Prior experience in AI training, technical quality control, benchmark development, or evaluation programs.

Project Details

  • Contractor assignment.
  • No medical or paid leave.
  • Total positions: 10.

Skills & expertise

Civil Engineering Structural Engineering Geotechnical Engineering Python C/C++ Julia Fortran MATLAB/Octave Linux Structural Analysis

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