AI Trainer - Graphical Abstract - Physics; Remote - Boston

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.

• 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

• 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

• Background in materials science or graphical scientific communication
• Familiarity with reading and interpreting published research figures and visual abstracts

• Fully remote engagement based in or near Boston
• 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