Role overview
This position invites subject-matter experts to join an on-demand talent pool supporting AI research initiatives. Selected specialists provide high-level domain review for materials science projects, evaluating how well AI-generated scientific summaries align with the underlying research papers. Work is fully online and contingent on project demand, with paid assignments of up to one hour each.
Responsibilities
- Audit materials science publications alongside graphical abstracts produced by a large language model
- Identify discrepancies where AI output fails to accurately represent the source paper
- Provide structured feedback that helps improve model performance in technical domains
- Contribute expert judgment on the quality of scientific summarizations
- Complete focused, short-duration review tasks as projects become available
Requirements
- Master's degree or higher in materials science or a closely related discipline
- Verifiable professional presence (e.g., LinkedIn profile or documented work history)
- Demonstrated experience with fact-checking, peer review, or AI-related evaluation work
- Strong attention to detail and ability to concentrate on dense technical material for up to one hour
- Reliable, high-speed internet connection and a suitable computer
Benefits and work setup
- Fully remote engagement with flexible scheduling
- Typical researcher-paid rate of $40+ per hour for completed tasks
- Self-employed participant model with on-demand project availability
AI Trainer - Materials Science Specialists (Remote - Miami) in Remote at Unknown Company
This position is listed as full time and able to be worked remotely.