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

Other Full-time Permanent UK

Job details

Not specified Salary
UK Eligibility
Executive Experience
Full-time Employment

About this role

Role overview This listing invites physics specialists to join an expert talent network supporting AI evaluation and research. Contributors assess physics papers alongside LLM-generated graphical abstracts, judging whether the visuals accurately convey the original science. The role is remote, flexible, and task-based, typically compensated at $40 or more per hour.

Responsibilities - Review physics research papers in parallel with their AI-generated graphical abstracts - Spot and document cases where the graphical abstract misrepresents the source paper - Submit structured feedback that helps refine AI-generated scientific visuals - Work on individual paid tasks that may require up to one hour of sustained concentration - Lend domain expertise that improves the quality of human-rated training data for AI models

Requirements - Master's degree or higher in physics or a related field - Demonstrated depth of expertise in physics research, teaching, or applied physics - Familiarity with fact-checking, peer review, or annotation work for AI systems - Keen eye for detail and the ability to stay focused on dense scientific material - A verifiable professional profile or LinkedIn presence - Stable, high-speed internet and a personal computer suitable for remote work

Benefits and work setup - Fully remote with flexible scheduling - Hourly pay generally starting at $40+/hr, depending on the project - Short onboarding window once an eligibility assessment is passed - Opportunity to shape cutting-edge AI through expert scientific review - Note: inclusion in the talent pool does not guarantee paid assignments; availability depends on client demand and profile match

Skills detected in the listing

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

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