Position Details
About this role
Remote Neuroscience AI Trainer role evaluating AI-generated graphical abstracts to ensure scientific integrity and factual accuracy. The work is flexible and ad hoc, with pay of $40+/h, contingent on passing a paid skills assessment.
Key Responsibilities
- Review scientific papers with AI-generated graphical abstracts
- Fact-check for inaccuracies and misrepresentations
- Verify technical concepts visually and textually against the source paper
- Assess scientific integrity and structural integrity of summaries
- Pass and complete the paid skills assessment using sample paper and graphical abstract
Technical Overview
Specialist review of LLM-generated graphical abstracts alongside scientific papers, focusing on structural integrity and faithful representation of technical concepts in both visual and text summaries. No engineering is required; the technical scope is domain verification of AI outputs.
Ideal Candidate
The ideal candidate is a Neuroscience professional holding a Master's or PhD in Neuroscience (or a closely related field) and has strong experience reviewing scientific literature and performing fact-checking with high attention to detail. They will be able to evaluate AI-generated graphical abstracts for both structural integrity and factual accuracy, ensuring visual and textual summaries faithfully represent source papers. Prior experience with AI training/evaluation or scientific publishing/peer review is a plus.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
No Master's or PhD in Neuroscience or a related field, Failure to pass the paid skills assessment with a sample paper and graphical abstract, Lack of strong fact-checking experience or inability to demonstrate attention to detail
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