Role overview:
Join an expert network as a part-time Materials Science specialist supporting AI research and development, working remotely from the Leeds area. The role involves auditing scientific papers and machine-generated graphical abstracts to help improve the accuracy of large language models. Participation is structured as an opt-in talent pool, so individual assignments are offered based on client demand and fit rather than guaranteed hours.
Responsibilities:
Review materials science research papers alongside LLM-produced graphical abstracts and flag discrepancies between the two. Evaluate whether the generated visuals faithfully summarize the source paper's findings, methods, and conclusions. Provide structured feedback and corrections that can be used to refine model outputs. Complete focused, paid tasks that may require up to one hour of uninterrupted concentration. Contribute domain expertise to researchers building more reliable AI systems.
Requirements:
Master's degree or higher in materials science or a closely related discipline. Demonstrated depth of knowledge in materials science research and publishing practices. Prior experience with fact-checking, peer review, or AI-evaluation work is helpful. A verifiable professional profile (such as a LinkedIn presence or academic record). Strong attention to detail and the ability to sustain concentration on complex technical content. Reliable high-speed internet connection and access to a personal computer.
Nice to have:
Familiarity with how scientific figures and abstracts are constructed and interpreted. Experience annotating datasets or working with research-platform tooling. Benefits and work setup Fully remote work with flexible scheduling. Typical engagement rate of $40+/hr, with task length varying but generally under one hour. Onboarding is streamlined once an assessment is passed.
