Materials Modeling Engineer

You will evaluate AI-generated content about materials modeling, computational research, and engineering workflows. Your feedback will help improve how AI systems understand and handle professional materials science work.

You may also complete analytical work and structured data deliverables using professional tools and methods. Active projects can include price forecast models and power purchase agreement documentation.

• Review AI-generated materials modeling and research content.
• Give clear, expert feedback on materials modeling and research workflows.
• Build price forecast models when assigned to an active project.
• Develop power purchase agreement documentation when assigned to an active project.
• Produce analytical work and structured data outputs independently.
• Use careful written judgment and attention to detail on each deliverable.

This is a fully remote, ongoing contractor engagement for candidates in the United States. The schedule is flexible and asynchronous, with no minimum hour requirement; active project participation commonly ranges from about 5 to 20 hours per week.

Energy or research experience can be useful, including battery research, computational chemistry, materials simulation, and controls.

• Pay: Up to $80 per hour.
• Location: Remote, open to candidates in the United States.
• Language: Fluent written English.
• Schedule: Flexible and asynchronous.
• Hours: No minimum requirement; active projects commonly involve about 5 to 20 hours per week.
• Engagement: Ongoing and project-based, with availability connected to current project needs.
• Experience: At least two years in materials science, computational modeling, or research engineering.
• Relevant backgrounds: Materials Scientist, Materials Modeling Engineer, Battery R&D Engineer, Computational Chemist, Modeling and Simulation Engineer, or Controls Engineer.
• Tools: Hands-on experience with MATLAB or Materials Studio.
• Work style: Strong written communication and the ability to work independently and asynchronously.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training is the human work behind systems that learn from examples, including reviewing model responses and evaluating technical content. Professionals are paid for this work because their field knowledge helps make AI outputs more accurate, useful, and aligned with real research practice.