Prompt Engineering Librarian information
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$51.7K is the 25th percentile. Wages below this are outliers.
$50.5K - $57K
19% of jobs
The median wage is $60.6K / yr.
$57K - $63.5K
18% of jobs
$72K is the 75th percentile. Wages above this are outliers.
$70K - $76.5K
9% of jobs
How much do prompt engineering librarian jobs pay per year?
As of Aug 28, 2026, the average yearly pay for prompt engineering librarian in the United States is $65,193.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $75,000.00 per year, depending on experience, location, and employer.
Prompt Engineering Librarians are information professionals who specialize in developing, curating, and optimizing prompts for artificial intelligence and large language models. They combine traditional library science skills with expertise in AI prompt construction to help users retrieve accurate, relevant, and ethical responses from AI systems. Their responsibilities may include managing prompt repositories, training others in effective prompt techniques, and ensuring that prompt use aligns with institutional guidelines and ethical standards.
To thrive as a Prompt Engineering Librarian, you need a strong foundation in information science, prompt engineering concepts, and digital content management, typically supported by a master's degree in library science or a related field. Familiarity with AI language models, prompt design tools, data curation platforms, and metadata management systems is essential. Excellent communication, analytical thinking, and a collaborative mindset are valuable soft skills for engaging with users and interdisciplinary teams. These skills ensure effective management and optimization of prompt resources, supporting innovation and access in AI-driven library environments.
A Prompt Engineering Librarian works closely with data scientists and AI developers by curating, organizing, and maintaining prompt libraries that support research and machine learning projects. They facilitate access to high-quality, relevant prompts, provide guidance on prompt engineering best practices, and help ensure ethical and effective use of AI tools. Collaboration often involves participating in interdisciplinary meetings, offering training sessions, and assisting with evaluating prompt performance to improve research outcomes.
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