Job summary
This role involves contributing to project-based AI opportunities by designing computational engineering problems and utilizing Python for simulations and calculations. Contributors will work on unique tasks that enhance AI systems for tech companies.
Qualifications
- Degree in Civil Engineering or a related field.
- Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar programming languages is acceptable.
- Minimum of 2 years of professional experience in applied, research, or teaching roles.
- Strong understanding of practical engineering constraints and approximations.
- Excellent written English skills (C1+).
Responsibilities
Project time expectations
Tasks are estimated to require approximately 10–20 hours per week during active project phases, based on specific project requirements.
Compensation
Contributors can earn up to $50 per hour, depending on their expertise and contribution pace. Compensation may vary across different projects based on scope and complexity.
- Design original computational engineering problems that reflect real engineering workflows.
- Create Python-based problems for engineering calculations and simulations.
- Ensure problems are computationally intensive, requiring numerical methods or iterative solutions.
- Develop problems focused on system design, optimization, and analysis.
- Base problems on real research challenges or practical engineering applications.
- Verify solutions using Python and standard engineering libraries.
- Document problem statements clearly and provide verified correct answers.