Material Scientist (Remote)

Job summary

This role involves contributing to project-based AI opportunities focused on testing and improving AI systems through the design of engineering problems. Contributors will engage in tasks that require Python programming to solve complex engineering challenges.

Qualifications

• Degree in Material Science or a related field.
• Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages is acceptable.
• Minimum of 2 years of professional experience in applied work, research, or teaching.
• Strong understanding of practical engineering constraints.
• Excellent written English skills (C1+).

Responsibilities

Project time expectations

Tasks are estimated to require 10–20 hours per week during active project phases, subject to project requirements.

Compensation

Contributors can earn up to $45 per hour, depending on their expertise and contribution pace. Compensation may vary across different projects.

• Design original material engineering problems that reflect real-world workflows.
• Create computationally intensive problems requiring numerical methods or iterative solutions.
• Develop problems related to system design, optimization, and analysis.
• Base problems on real research challenges or practical applications.
• Verify solutions using Python and standard engineering libraries.
• Document problem statements and provide verified correct answers.