Civil Engineering Expert Python
OpenTrain AI
- Lieu
- Anywhere
- Publié
- 7 oct. 2026
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Description du poste
L’interface est en français. Les intitulés et descriptions publiés par les entreprises restent dans leur langue d’origine, qui peut être l’anglais.
The workYou will create original civil and computational engineering problems that reflect real engineering work. Each problem must include a clear statement, a fully verified solution, documented reasoning, and a reproducible final answer.
Your work will support AI training through written examples and evaluations. You will use Python and common engineering libraries to check calculations and validate solutions.
Design realistic problems involving analysis, optimization, numerical methods, iterative solutions, or simulation-style calculations.Write clear problem statements and complete, correct solutions.Document the reasoning behind each solution.Use Python with NumPy, Pandas, SciPy, or similar tools to verify engineering results.Review solutions for correctness and reproducibility.What it pays and takesThis is an intermediate, part-time contractor role for someone with civil engineering knowledge and strong written English. Experience with other technical tools can qualify if you can work effectively in Python for verification.
Pay: $15 to $50 per hour.Time: 20+ hours per week.Location: Worldwide.Education: A degree in civil engineering or a closely related field.Experience: At least 2 years of relevant applied, research, or teaching experience.English: Strong written English at C1 level or higher.Technical skills: Comfortable using Python to validate engineering solutions, including work with NumPy, Pandas, SciPy, or similar libraries.Related experience with MATLAB, R, C, or SQL may be acceptable if you can use Python effectively for verification.How it worksApply on OpenTrain. The employer reviews applications there.
About AI training workOpenTrain is the hiring and contracting organization for this role. AI training work uses examples written and checked by people to help artificial intelligence systems produce more accurate and useful results, and subject-matter experts help ensure those examples are sound.