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

Other Full-time Permanent Washington

Job details

Not specified Salary
Washington Eligibility
Executive Experience
Full-time Employment

About this role

Role overview Join a remote, on-demand expert network that supports AI developers and research teams with high-quality human feedback. Physics specialists will be invited into a talent pool to evaluate AI-generated graphical abstracts of scientific papers, helping ensure that large language model outputs accurately represent the underlying research. Work is fully remote, ad hoc, and compensated at $40+/hr.

Responsibilities - Review physics research papers alongside graphical abstracts produced by an AI system. - Identify factual or structural discrepancies between the original paper and the LLM-generated abstract. - Apply domain expertise to judge whether visual and textual summaries correctly convey the study's findings. - Flag errors, distortions, or omissions that could mislead a reader of the abstract. - Complete focused paid tasks, typically up to one hour in length, with concentration and rigor.

Requirements - Master's degree or higher in physics or a closely related discipline. - Deep subject-matter expertise in physics, including familiarity with core methods and terminology. - Demonstrated experience with fact-checking, peer review, or comparable analytical work. - Verifiable professional profile or LinkedIn presence. - Strong attention to detail and the ability to concentrate on complex material for up to one hour at a stretch. - Reliable high-speed internet connection and access to a computer.

Nice to have - Prior experience with AI training, evaluation, or annotation tasks. - Background in scientific publishing or peer-reviewed journal work.

Benefits and work setup - Fully remote, flexible schedule with no guaranteed hours. - Pay typically starts at $40+/hr, depending on assignment. - Participation in individual projects 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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