AI Trainer - Graphical Abstract - Physics (Remote - San Francisco)

Role overview

An invitation to join a specialist talent pool supporting AI research projects for global clients. Physics experts audit LLM-generated graphical abstracts against published papers, helping improve how models summarize complex scientific work. Engagements are paid per task, depend on demand and profile fit, and require sustained focus on individual assignments.

Responsibilities

- Review physics research papers alongside graphical abstracts produced by an LLM - Identify specific inaccuracies, omissions, or misrepresentations in the visual summaries - Submit structured feedback that feeds directly into model improvement pipelines - Complete short, paid assignments, often within a one-hour focus window - Cross-check methodology, data, and conclusions described in the abstract against the source paper

Requirements

- Master's degree or higher in physics or a closely related field - Deep expertise in physics research, scientific publications, or related subfields - Prior experience with fact-checking or AI-related evaluation tasks - A verifiable professional profile or documented work history - Strong attention to detail and the ability to concentrate on complex work for up to one hour - Reliable, fast internet connection and a computer

Nice to have

- Familiarity with graphical abstract conventions or scientific visualization standards

Benefits and work setup

- Typical researcher-side pay of $40+/hr for completed tasks - Fully remote, flexible scheduling with task-based rather than fixed-hour commitments - Opportunity to influence the next generation of AI models interpreting scientific literature