Civil Engineer & Python AI Problem Designer

Mindrift

Austin (TX)

On-site

USD 55,000 - 95,000

Part time

14 days+
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Job summary

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focusing on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

Contributors design engineering problems, craft Python-based solutions, and verify results using common libraries. This is a part-time, non-permanent engagement requiring 2+ years experience, a Civil Engineering background, and strong written English.

Qualifications

  • Degree in Civil Engineering or related fields.
  • 2+ years of professional experience: applied, research, or teaching experience is applicable.
  • Strong written English (C1+).
  • Python proficiency for numerical validation.

Responsibilities

  • Design original computational engineering problems that simulate real engineering workflows.
  • Create problems requiring Python programming to solve engineering calculations and simulations.
  • Develop problems involving system design, optimization, and analysis.
  • Base problems on real research challenges or practical applications from engineering practice.
  • Verify solutions using Python with standard engineering libraries.
  • Document problem statements clearly and provide verified correct answers

Skills

Python proficiency
2+ years professional experience
Strong written English (C1+)

Education

Civil Engineering degree or related field

Tools

MATLAB
R
C
SQL
NumPy
Pandas
SciPy
Domain-specific libraries

Job description

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focusing on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

Contributors design engineering problems, craft Python-based solutions, and verify results using common libraries. This is a part-time, non-permanent engagement requiring 2+ years experience, a Civil Engineering background, and strong written English.

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