Help shape the next generation of artificial intelligence by applying your materials science expertise to validate and improve AI-generated scientific summaries. In this remote role, you'll review peer-reviewed research papers alongside AI-produced graphical abstracts, identifying discrepancies and ensuring technical accuracy.
What You'll Do
- Evaluate scientific papers in materials science and assess the fidelity of AI-generated graphical abstracts
- Identify technical inaccuracies, omissions, or misrepresentations in visual summaries
- Provide expert feedback that enhances the reliability of AI training data
- Support the development of more precise and trustworthy AI systems in scientific domains
What We're Looking For
- Advanced degree (Master’s or higher) in materials science or a closely related discipline
- Proven experience in scientific validation, peer review, or AI data evaluation
- Highly detail-oriented with the ability to maintain focus during intensive technical assessments
- A documented professional background, such as a verified LinkedIn profile
- Reliable internet access and a personal computer for remote work
Why Participate
Contribute your specialized knowledge to ethically developed AI systems while working on your own schedule. Earn competitive rates—often $40 or more per hour—with quick onboarding that allows you to start earning within minutes of joining. This is a unique opportunity to directly influence the accuracy and quality of next-generation AI models in science-intensive applications.
