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

Role overview

An invitation to join a physics-focused expert pool supporting AI training and evaluation for global research clients. Specialists compare LLM-generated graphical abstracts against source physics papers and surface errors that strengthen future model outputs. Project engagements are paid per task and depend on demand and fit.

Responsibilities

- Review physics research papers alongside the graphical abstracts summarizing them - Detect and document specific points where the LLM-generated abstract misrepresents the source paper - Submit feedback that supports ongoing model improvement efforts - Complete paid tasks within their stated time windows, often up to one hour - Maintain consistent evaluation quality across consecutive audits

Requirements

- Master's degree or higher in physics or a closely related discipline - Deep subject-matter expertise in physics research, publications, or adjacent areas - Prior experience with fact-checking or AI-related evaluation work - A verifiable professional profile such as a LinkedIn presence or equivalent - Strong attention to detail and ability to focus on complex work for up to one hour at a time - Reliable high-speed internet connection and a computer

Nice to have

- Familiarity with scientific visualization or graphical abstract conventions

Benefits and work setup

- Typical rates of $40+/hr paid by researchers using the platform - Fully remote, task-based commitments with flexible scheduling - Direct influence on how AI models interpret and summarize scientific literature