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

Other Full-time Permanent Canada

Job details

Not specified Salary
Canada Eligibility
Executive Experience
Full-time Employment

About this role

Role overview This is an invitation to join an expert talent pool of physics specialists supporting AI research and model evaluation. Selected contributors review physics research papers alongside LLM-generated graphical abstracts, verifying that each visual summary faithfully captures the underlying science. The work is fully remote, task-based, and compensated at $40 or more per hour.

Responsibilities - Audit physics papers paired with AI-generated graphical abstracts to confirm accurate representation of the research - Identify errors, omissions, or distortions in the visual summaries produced by language models - Provide structured expert feedback and corrections that feed into model improvement pipelines - Complete focused paid assignments lasting up to one hour of uninterrupted review at a time - Contribute domain-specific knowledge that strengthens human-in-the-loop training data for advanced AI systems

Requirements - Master's degree or higher in physics or a closely related discipline - Deep, verifiable expertise in physics research or applied physics - Experience with fact-checking, peer review, or AI-related evaluation work - Strong attention to detail and the ability to concentrate on complex scientific content for extended periods - A verifiable professional profile, such as a LinkedIn presence - Reliable high-speed internet connection and a personal computer

Benefits and work setup - Fully remote engagement with flexible hours and no fixed schedule - Competitive hourly compensation starting at $40+/hr - Quick onboarding once an assessment is passed - The chance to influence the next generation of AI models through expert human feedback - Note: joining the talent pool does not guarantee project assignments; work depends on client demand and profile fit

Skills detected in the listing

LLM
Detected Sep 18, 2026
Last verified Sep 18, 2026

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