Civil Engineer & Python Numerics for AI Projects

Mindrift; Virginia (MN); On-site; USD 55,000 - 95,000; Part time

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 may design problems, create Python-based tasks, and verify solutions over 10-20 hours per week during active phases. Compensation can be up to $69 per hour equivalent, depending on level and pace of contribution, with other projects offering different earning levels.

Qualifications

• Degree in Civil Engineering or related fields.
• Python proficiency for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy.

Responsibilities

• Design original computational engineering problems that simulate real engineering workflows.
• Create problems requiring Python programming to solve engineering calculations and simulations.
• Ensure problems are computationally intensive and require numerical methods or iterative solutions.
• 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

NumPy

Pandas

SciPy

MATLAB

R

SQL

C

Domain libraries

Programming languages

Education

Bachelors in Civil Engineering

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 may design problems, create Python-based tasks, and verify solutions over 10-20 hours per week during active phases. Compensation can be up to $69 per hour equivalent, depending on level and pace of contribution, with other projects offering different earning levels.