Materials Modeling Engineer

What You'll Do5

• Create expert-level training questions and scenarios grounded in real materials modeling and research engineering workflows.
• Review AI-generated responses for technical accuracy and relevance to computational modeling and materials simulation practices.
• Write structured feedback that pinpoints errors, gaps, and weak reasoning in AI outputs.
• Evaluate model performance against domain standards and research engineering norms.
• Complete tasks at your own pace with no set schedule or minimum hour requirement.

Requirements5

• 2+ years of professional experience in materials science, computational modeling, or research engineering.
• Background in roles such as Materials Scientist, Battery R&D Engineer, Computational Chemist, or Modeling & Simulation Engineer.
• Hands-on use of MATLAB, Materials Studio, or both.
• Strong written communication skills and close attention to detail.
• Ability to work on your own in a remote, asynchronous setting.

Who Should Apply

The ideal candidate brings at least two years of professional experience in materials science, computational modeling, or research engineering, with a title like Battery R&D Engineer or Computational Chemist. You have used MATLAB, Materials Studio, or both in real projects and can explain modeling choices in clear writing. This role fits people who already hold a full-time position and want project-based side work with flexible hours. Candidates who lack hands-on tool experience or who have less than two years in the field often score low on fit. Weak written feedback also sinks applications, because the job hinges on precise critiques of AI-generated technical content.

Salary Insight