AI Trainer - Neuroscience (Fully Remote- Vancouver)

Role overview This remote advisory role recruits neuroscience specialists to judge the quality of graphical abstracts that AI systems have produced from scientific papers. The aim is to ensure machine-generated technical summaries preserve the accuracy and nuance of the original neuroscience research. The engagement is structured as a flexible, ad hoc project, making it well suited to researchers seeking supplemental, expertise-driven work.

Responsibilities - Read assigned neuroscience papers and evaluate the corresponding LLM-generated graphical abstract for fidelity. - Identify where visuals or captions misrepresent methods, results, or conclusions. - Confirm that technical vocabulary, statistical claims, and scientific concepts are rendered correctly. - Produce structured feedback describing errors and the source passages they contradict. - Pass a paid skills assessment using a sample paper and abstract to enter the participant pool.

Requirements - Master's or PhD in neuroscience or a closely related field. - Strong grasp of experimental neuroscience, including common methodologies and analytical approaches. - Track record of careful, evidence-based review of scientific or technical documents. - Sharp analytical eye and ability to articulate findings in concise written form. - Comfort operating independently within a project-based remote framework.

Nice to have - Prior work on AI training, evaluation, or human-in-the-loop annotation tasks. - Experience in scientific publishing, manuscript review, or editorial decision-making.

Benefits and work setup - Fully remote position open to candidates based in the Vancouver area. - Flexible scheduling with ad hoc assignments and hourly compensation starting at $40+.