Materials Science AI Training Expert

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI recruits contractors for specialized projects where experts help improve the quality, accuracy, and usefulness of artificial intelligence.

• Remote contract work available worldwide
• Free account creation and streamlined applications
• Opportunities to build experience in a fast-growing AI field

About AI Training Work

AI training is the human side of building artificial intelligence. Contributors review information, write examples, rate model responses, and apply their subject-matter expertise so AI systems can learn from accurate, well-structured material.

In this project, your materials science knowledge will help shape how AI handles technical concepts, scientific literature, engineering scenarios, and metallurgy-related questions.

• Work remotely with a computer and internet connection
• Apply specialized expertise to cutting-edge AI systems
• Support models used by both technical and non-technical audiences

The Role

OpenTrain AI is seeking a remote Materials Science AI Training Expert to review and annotate technical materials datasets, literature, and documentation. You will also write explanations of advanced materials science concepts, evaluate AI-generated content related to materials engineering and metallurgy, and help create domain-specific training resources.

This is an entry-level project classification with advanced academic requirements. The engagement is offered as a part-time contractor role requiring 20 or more hours per week. Compensation ranges from $80 to $130 per hour in USD.

• Role: Materials Science AI Training Expert
• Work arrangement: Remote and worldwide
• Employment type: Contractor and part time
• Time requirement: 20+ hours per week
• Language: English
• Pay: $80-$130 per hour

What You’ll Do

You will contribute to document-based AI training work involving classification, entity identification, text generation, and evaluation. Your work must meet established scientific standards and project specifications while remaining clear to the intended audience.

• Review, assess, and annotate technical materials datasets, literature, and documentation for accuracy and clarity
• Write comprehensive explanations of advanced materials science concepts for non-expert and expert audiences
• Evaluate AI-generated materials engineering, metallurgy, and related content
• Provide feedback to improve the quality and accuracy of AI-generated technical content
• Develop and validate materials-focused scenarios, case studies, and problem sets for AI training
• Help define data requirements and quality benchmarks for interdisciplinary project work
• Ensure deliverables meet established scientific standards and project specifications

Requirements

This role requires strong materials science expertise and the ability to interpret technical information carefully. You should be comfortable reviewing scientific literature, interpreting experimental data, and communicating complex concepts clearly in writing and conversation.

• MS or PhD in Materials Science and Engineering, Materials Science, Metallurgy, Mechanical Engineering, Chemical Engineering, or a closely related field with materials specialization
• Experience in materials characterization, processing, selection, or testing across applications
• Ability to review scientific literature and interpret experimental data
• Ability to communicate complex technical concepts clearly in written and verbal formats
• Experience evaluating or improving AI-generated technical content
• Familiarity with remote collaboration tools and technical content review
• Strong analytical skills and a track record of high-quality scientific work

Who Should Apply

Apply if you have a strong academic or professional foundation in materials science and can turn advanced technical knowledge into accurate, understandable guidance. This project is a fit for experts who enjoy careful review, scientific writing, and improving how AI handles specialized engineering content.

• Materials scientists and metallurgists
• Engineers with materials-focused experience
• Researchers experienced in characterization, processing, selection, or testing
• Technical experts who can assess AI-generated scientific content
• Clear communicators who value accuracy and consistent quality standards

How to Get Started

Create a free OpenTrain account, build your profile around your materials science education and experience, and apply in minutes. If selected, you can contribute remotely to AI training work that uses your expertise to improve the next generation of intelligent systems.

• Create your free OpenTrain account
• Highlight your degree, materials experience, and technical review skills
• Apply for the role through OpenTrain
• Complete project onboarding and follow the applicable quality standards