Dartmouth College is hiring: Critical Artificial Intelligence Librarian. in Hano

Overview

The Critical Artificial Intelligence Librarian accelerates the Dartmouth Libraries engagement with advanced machine learning technologies and their relevant ethical, practical, and educational implications. This expert fosters critical AI literacies by helping Dartmouth students learn how to evaluate AI-inflected systems and information tools, understand the limitations and biases of these systems, appreciate the affordances of referential and inferential information paradigms, and, when appropriate, use these systems responsibly. This person also plays a key role in navigating the academic and ethical considerations surrounding AI, such as privacy, citation, intellectual property, state and industrial policies, misuse, differential access, and sustainability. Building on these core functions, the Critical Artificial Intelligence Librarian will partner with colleagues across and beyond the Dartmouth Libraries to create resources, design and deliver curriculum-aligned instruction, and develop exploratory environments that empower students to explore open and local approaches to artificial intelligence.

This is a 3 year term position. It is a hybrid work location eligible position.

Details

• Posting date 09/29/2025
• Position Number 1129448
• Position Title Critical Artificial Intelligence Librarian
• Hiring Range Minimum $74,293
• Hiring Range Maximum $92,866
• Union Type DCLWU
• SEIU Level Not an SEIU Position
• FLSA Status Exempt
• Employment Category Regular Full Time
• Scheduled Months per Year 12
• Scheduled Hours per Week 40
• Location of Position Hanover, NH
• Remote Work Eligibility? Hybrid
• Is this a term position? Yes
• If yes, length of term in months. 36
• Is this a grant funded position? No

Responsibilities

• In cooperation with appropriate colleagues across the Libraries and relevant Dartmouth partners, lead the development of curriculum-aligned information literacy instructional modules focused on the emergent information landscape, especially generative artificial intelligence. Deliver these modules to undergraduate students, graduate students, and professional students.
• With the Learning and Engagement Librarian and relevant partners, develop and refine a suite of multimodal information literacy resources for diverse student populations addressing engagement with information systems marked by uncertainty (large language models, misinformation campaigns, fragmented social media environments, etc.).
• Establish a program where students can apply machine learning models and local inference to library-facilitated collections, corpora, and diverse cultural datasets; support related efforts across Dartmouth to thoughtfully explore AI in learner-centered contexts.
• Develop and maintain ongoing AI fundamentals training programs for all Libraries staff.
• Stay informed about the evolving landscape of machine learning models, emergent information systems, ethics, policies, and regulations, including data privacy, bias, and transparency. Share updates through participation in the Dartmouth Libraries AI working group and relevant initiatives.
• Demonstrates a commitment to diversity, inclusion, and cultural awareness through actions, interactions, and communications with others; perform other duties as assigned.

Qualifications

Required Qualifications - Education and Years Experience

Masters or equivalent combination of education and experience

Required Qualifications - Skills, Knowledge And Abilities

• ALA-accredited masters degree in library and/or information science, or an advanced subject or professional degree; 5+ years of relevant postgraduate experience
• Demonstrated experience working with a variety of machine learning or generative artificial intelligence tools in an academic context
• Demonstrated experience developing or implementing critical information literacy frameworks in curricular contexts
• Demonstrated ability to work independently and as a team member to solve problems
• Excellent oral and written communication skills
• Strong interpersonal skills
• Strong organizational skills; ability to prioritize tasks, manage time, and complete projects
• Experience and proficiency with effective teaching methods and practices

Preferred Qualifications

• Experience with information retrieval paradigms, especially semantic search
• Experience with using and developing generative artificial intelligence tools, tool chains, machine learning frameworks, and/or natural language processing for projects; experience with database design and development
• Knowledge of statistical concepts and approaches in academic disciplines
• Willingness to learn new programming languages, statistical analysis tools or other relevant tools as needed
• 2+ years experience in data science work

Contact and Compliance

Department Contact for Recruitment Inquiries: Daniel Chamberlain

Department Contact Phone Number: 3107706049

Department Contact for Cover Letter and Title: Daniel Chamberlain, Associate Dean of Libraries, Research & Digital Strategies

Equal Opportunity Employer: Dartmouth College is an equal opportunity employer under federal law. We prohibit discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, veteran status, marital status, or any other legally protected status. Applications are welcome from all.

Background Check: Employment in this position is contingent upon consent to and successful completion of a pre-employment background check, which may include criminal background checks, reference checks, verification of work history, conduct review, and verification of required credentials.

Is driving a vehicle an essential function of this job? Not an essential function

Special Instructions to Applicants: This position is a 36-month term position. Dartmouth College has a Tobacco-Free Policy. Details at policy link. Quick Link: https://searchjobs.dartmouth.edu/postings/83131

Notes

Key Accountabilities and additional information are provided in the original posting. This refinement preserves the core responsibilities, qualifications, and contextual details without altering reported facts.