AI Trainer - Neuroscience (Fully Remote- Chicago)

Role overview A remote, project-based opportunity is available for neuroscience specialists to evaluate AI-generated graphical abstracts of scientific papers. The role supports AI developers by providing expert human feedback on whether LLM-produced summaries accurately reflect the source research. Work is ad hoc, flexible, and compensated at $40+/hr, beginning with a paid skills assessment.

Responsibilities - Review neuroscience papers in conjunction with AI-generated graphical abstracts. - Spot factual errors, misrepresented methods, or distorted conclusions in the abstract. - Verify that visual elements and textual summaries align with the study's actual findings. - Contribute structured expert feedback that improves the scientific accuracy of AI outputs.

Requirements - Master's or PhD in neuroscience or a closely related discipline. - Demonstrated ability to navigate and interpret dense scientific literature. - Background in fact-checking, peer review, or similar detail-oriented analytical work. - Strong attention to detail and capacity for sustained concentration. - Verifiable professional or academic profile. - Stable internet connection and a working computer.

Nice to have - Prior exposure to AI training, data annotation, or model evaluation tasks. - Experience in scientific publishing or peer-reviewed journals.

Benefits and work setup - Fully remote with flexible hours and no guaranteed minimum workload. - Typical pay of $40+/hr, depending on assignment. - A paid skills assessment using a sample paper and graphical abstract is required to qualify.