Validate AI-generated materials science content through expert analysis and feedback to improve model accuracy and reliability
Responsibilities
- Evaluate scientific papers and graphical abstracts in materials science produced by large language models
- Detect discrepancies between AI-generated graphical abstracts and the original research papers
- Enhance AI model performance by providing expert validation and constructive feedback
Requirements
- Extensive knowledge in materials science
- Possession of a master's degree or higher in a relevant discipline
- Background in fact verification or tasks involving artificial intelligence
- A verifiable professional profile, such as a LinkedIn account or documented work history
- High level of precision and attention to detail
- Capacity to maintain focus on intricate tasks for up to 60 minutes continuously
- Stable and high-speed internet connection
- Access to a functional computer
Benefits
- Attractive pay rates
- Work schedule flexibility
- Remote work from any location
- Contribution to shaping future AI systems
- Quick 15-minute onboarding process following successful assessment
Compensation
Up to $40+/hour depending on client demand and project requirements
Work Arrangement
global — Remote - Birmingham, Global — Flexible hours, fully remote
Team
global network of expert participants; B2B and AI research network with project-based participation; reports to not specified
- Integration of diverse human perspectives into AI development
- Commitment to ethically sourced human behavioral data
- Focus on creating high-quality AI systems that reflect human nuance
Additional Information
- This role is an invitation to join an expert talent pool; project participation is not guaranteed
- Engagement is based on client demand and alignment with candidate profile
- Tasks usually require up to one hour of continuous concentration
- Many assignments take less than one hour to complete
- Candidates must successfully pass an assessment prior to onboarding
- Personal data is collected for recruitment and global organizational planning purposes
- Processing of personal information is governed by the Candidate Privacy Notice
