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.

• 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

• 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 Linked In 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

• Familiarity with scientific visualization or graphical abstract conventions

• 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