AI Trainer - Materials Science Specialists (Remote - Boston)

Role overview This remote advisory role calls on Materials Science specialists to help validate AI-generated outputs against real scientific literature. The work centres on auditing graphical abstracts produced by a large language model and flagging any divergence from the source papers. Joining the expert talent pool does not guarantee project work, which is allocated based on demand and fit.

Responsibilities - Read assigned materials science papers and their corresponding LLM-generated graphical abstracts. - Detect inaccuracies, omissions, or distortions in the abstracts relative to the paper. - Use subject-matter expertise to evaluate whether key findings and methods are faithfully conveyed. - Deliver structured feedback that supports improvement of advanced AI models. - Work through paid assignments, with durations ranging from brief to about an hour of focused effort.

Requirements - Master's degree or higher in Materials Science or an adjacent discipline. - Substantive expertise in materials science research and scholarly communication. - Hands-on experience with fact-checking, peer review, or AI data labelling. - A verifiable professional footprint, such as a LinkedIn profile documenting your background. - Meticulous attention to detail and the ability to sustain concentration on dense material. - Dependable internet connection and a computer suitable for remote task work.

Benefits and work setup - Remote role for applicants in the Boston region. - Standard researcher pay starts at $40+/hour. - Flexible scheduling with tasks tailored to expert availability.