AI Trainer - Graphical Abstract - Physics (Remote - Birmingham)

Role overview Join an invite-only network of domain specialists supporting artificial intelligence research and development. This remote, flexible opportunity invites physics-trained professionals to audit and validate AI-generated outputs against scientific publications, helping improve the accuracy of large language models in specialised academic domains.

Responsibilities - Review physics research papers alongside LLM-generated graphical abstracts that summarise each paper - Identify discrepancies, inaccuracies, or misrepresentations between the original study and its AI-produced visual summary - Apply rigorous scientific judgment to flag content that does not faithfully reflect the underlying research - Provide structured feedback and corrections that downstream teams use to refine model behaviour - Complete paid assignments, typically requiring up to one hour of focused attention per task

Requirements - Master's degree or higher in physics or a closely related field, with demonstrable depth of expertise - Prior experience in fact-checking, peer review, or AI-related evaluation tasks - A verifiable professional profile or public professional history that confirms credentials - Strong attention to detail and the ability to concentrate on complex scientific material for sustained periods - A reliable, fast internet connection and access to a personal computer

Nice to have - Background in materials science or graphical scientific communication - Familiarity with reading and interpreting published research figures and visual abstracts

Benefits and work setup - Fully remote engagement based in or near Birmingham - Hourly compensation typically starting around $40+, depending on assignment and expertise - Flexible scheduling with short-form tasks and no minimum project commitment - Participation is by invitation to an expert talent pool; assignments depend on client demand and profile fit