Remote Civil Engineer AI Trainer — Python-Driven Problems

Mindrift

Kentucky

Remote

USD 62,508 - 89,027

Part time

14 days+
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Benefits offered by this job

Earn up to $55/hour
Fully remote, flexible work
Contribute to future AI systems

Job summary

A leading AI innovation firm is seeking experienced Civil Engineers with strong Python skills to train and evaluate AI models on realistic engineering problems. This role emphasizes engineering judgment and analytical rigor, focusing on complex problem design rather than software development. Candidates should possess a relevant degree and advanced English proficiency. It’s fully remote and offers flexible part-time freelance opportunities with attractive compensation based on expertise.

Qualifications

  • 3+ years professional or advanced academic experience in Structural, Geotechnical, Transportation, Water Resources, Environmental, Hydraulic, Construction Engineering & Management.
  • Ability to design computationally intensive, non-trivial problems.
  • Advanced English proficiency (C1+).

Responsibilities

  • Design technically rigorous civil engineering problems grounded in practice.
  • Evaluate AI solutions for engineering accuracy and assumptions.
  • Use Python (NumPy, Pandas, SciPy) to validate calculations or analyze outputs.
  • Improve AI reasoning to align with codes, standards, and professional logic.
  • Apply structured scoring criteria to assess model performance.

Skills

Python proficiency
Engineering judgment
Analytical rigor

Education

Bachelor's, Master's, or PhD in Civil Engineering or related field

Job description

A leading AI innovation firm is seeking experienced Civil Engineers with strong Python skills to train and evaluate AI models on realistic engineering problems. This role emphasizes engineering judgment and analytical rigor, focusing on complex problem design rather than software development. Candidates should possess a relevant degree and advanced English proficiency. It’s fully remote and offers flexible part-time freelance opportunities with attractive compensation based on expertise.
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