Material Science Expert (AI Trainer)

TL;DR

Material Science Expert (AI Trainer): Designing and verifying complex material engineering problems and simulations using Python to improve AI systems with an accent on numerical methods and real-world engineering workflows. Focus on creating computationally intensive problems, performing numerical validation, and ensuring high-quality technical documentation.

Compensation: up to $76 per hour

Company

hirify.global connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.

What you will do

• Design original material 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 based on real research challenges.
• Verify solutions using Python with standard engineering libraries.
• Document problem statements clearly and provide verified correct answers.

Requirements

• Degree in Material Science or related fields.
• Python proficiency for numerical validation (MATLAB, R, C, SQL, Numpy, Pandas, SciPy are considered equivalent).
• 2+ years of professional experience in applied research, industry, or teaching.
• Understanding of practical engineering constraints and approximations.
• English: C1+ proficiency required.

Culture & Benefits

• Flexible project-based engagement, not permanent employment.
• Estimated workload of 10–20 hours per week during active phases.
• Opportunity to contribute to the development of cutting-edge AI systems.
• Competitive compensation based on expertise and pace of contribution.

Hiring process

• Application review.
• Qualification test(s).
• Project onboarding.