Neuroscience - AI Training - London, Canada

Role overview Review AI-generated graphical abstracts against neuroscience research papers to assess whether the summaries accurately reflect the science. This is a flexible, remote, ad hoc evaluation project focused on preserving the factual and structural integrity of technical research communication.

Responsibilities - Read scientific papers alongside the graphical abstracts produced from them. - Check whether the abstracts represent the source paper’s findings and concepts accurately. - Identify factual errors, omissions, or distortions in the text or visual presentation. - Apply neuroscience expertise to judge whether complex ideas have been summarized appropriately.

Requirements - Master’s or PhD in neuroscience or a related field. - Deep subject knowledge in neuroscience and the ability to work through dense scientific literature. - Strong analytical skills, attention to detail, and experience with fact-checking. - Pass a paid skills assessment using a sample paper and graphical abstract.

Nice to have - Experience evaluating or training AI systems. - Background in scientific publishing or peer review.

Benefits and work setup - Remote, flexible, ad hoc work. - Advertised pay starts at $40 per hour.