Remote Civil Engineer AI Trainer — Python-Driven Problems

Mindrift

South Carolina

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 AI systems
Work on non-routine problems

Job summary

A leading AI innovation firm in South Carolina seeks experienced Civil Engineers with Python skills to train and evaluate AI models on civil engineering problems. This role requires deep engineering judgment and analytical rigor, not drafting or software development. Responsibilities include designing rigorous engineering problems and evaluating AI accuracy, with opportunities for flexible, remote part-time work. Ideal candidates hold advanced degrees in Civil Engineering and possess a strong proficiency in Python.

Qualifications

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

Responsibilities

  • Design technically rigorous civil engineering problems.
  • Evaluate AI solutions for engineering accuracy and assumptions.
  • Use Python 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

Strong Python proficiency
Engineering judgment
Analytical rigor

Education

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

Tools

NumPy
Pandas
SciPy

Job description

A leading AI innovation firm in South Carolina seeks experienced Civil Engineers with Python skills to train and evaluate AI models on civil engineering problems. This role requires deep engineering judgment and analytical rigor, not drafting or software development. Responsibilities include designing rigorous engineering problems and evaluating AI accuracy, with opportunities for flexible, remote part-time work. Ideal candidates hold advanced degrees in Civil Engineering and possess a strong proficiency in Python.
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