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Pod lead - Civil and structural engineering

per hour

Contractor Remote Last verified 21 Jul 2026

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About the Role

We are seeking an experienced Civil or Structural Engineering expert to lead a pod of trainers building realistic, terminal-based technical tasks for Terminal Bench Science. You will review every task your trainers produce for engineering correctness, reproducibility, and grader reliability, and coach trainers to consistently deliver high-quality tasks. Reporting Structure: Reports to the Civil & Structural Engineering Team Lead. Leads a pod of approximately 5–10 trainers.

What You'll Do

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 involving structural analysis, finite-element methods (FEA), 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.

You're a Good Fit If You

Required skills: Growth Engineering, MATLAB
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.

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Role Highlights

Pay

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Contract

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Location

Remote

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Independent contractor engagement through Turing. Apply via the link below - Turing handles vetting, onboarding and payment.

Common Questions

Turing has a reliability rating of very reliable based on the listings we track, with an onboarding time of 5-14 days. See our full Turing review for the details behind that rating.

Applying takes you to Turing's own website, where the application is completed. We are not a recruiter or employer and do not process applications directly - we may be recorded as the referring source.

Pay varies - Independent contractor engagement through Turing. Apply via the link below - Turing handles vetting, onboarding and payment.

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 involving structural analysis, finite-element methods (FEA), 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.

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