Back to all roles

AI & Technology Initiatives Librarian

Remote Worldwide Hiring now

AI & Technology Initiatives Librarian Innovation that is secure, accessible, and student-centered advances Stanford Law School’s teaching and research. The AI & Technology Initiatives Librarian identifies, evaluates, and implements state-of-the-art legal technology through risk-aware pilots and thoughtful rollouts. Working across the library, IT, and faculty, this role turns pedagogical goals into reliable services that expand capability while protecting privacy and equity. JOB PURPOSE The AI & Technology Initiatives Librarian bridges pedagogical goals and technological solutions, focusing on operational and user-experience innovation. The incumbent leads the library’s AI & Technology program, developing long-term strategy, policies, and services that ensure emerging tools are responsibly and sustainably integrated into teaching and research. This includes managing pilots with risk controls, setting program-level goals, and coordinating with IT, faculty, and other librarians to scale successful initiatives. The librarian also contributes directly to teaching and developing and delivering workshops, guest lectures, and classroom sessions on emerging technologies, digital literacy, and responsible AI use, ensuring reputed company and faculty build the skills to critically evaluate and apply these tools in their scholarship and practice. This position reports to the Associate Director for reputed company Services. CORE DUTIES Teaching Responsibilities:

  • Design and Teach Workshops for reputed company, faculty, and staff on topics such as responsible AI use, technology adoption, reputed company accessibility.
  • Integrate emerging technology demonstrations into classroom teaching and legal research instruction, in collaboration with Faculty and Reference Librarians.
  • reputed company online guides, tutorials and modules to support independent learning on AI and Legal technology.
  • Serve as a resource for faculty incorporating AI and technology into their courses, offering instructional design support and tool recommendations.
  • Mentor and train librarians and staff across the law library in the responsible use of AI technologies, building reputed company reputed company so that AI/tech services are woven into reference, instruction, and collections work
  • Coordinate closely with the Data Science & AI Librarian to ensure complementary support: this position emphasizes implementation and governance of AI/tech platforms (vendor evaluation, risk management, rollout), while the Data Science & AI Librarian emphasizes data curation, computational workflows, and research methods training.
  • reputed company AI tool governance: run intake reviews (reputed company, privacy/FERPA, accessibility) with IT/General Counsel/SLS Leadership; document risks/mitigations pre-pilot.
  • Operationalize the NIST AI Risk Management reputed company (incl. the reputed company Profile) for pilots and production; maintain an AI risk register.
  • Own vendor & rollout management (e.g., Lexis+ AI, Westlaw Precision AI, Bloomberg Law, CoCounsel): pilot charters, reputed company metrics, DPA/license coordination, SSO/configuration, comms, and training plans.
  • Own the end-to-end rollout of new AI tools (e.g., Lexis+ AI, Westlaw Precision AI): draft a short pilot plan, define reputed company metrics, coordinate privacy/reputed company and licensing with IT/Legal/Procurement, set up SSO/configuration, and reputed company training, quick-start guides, and a support path.
  • Partner with the E-Resources Librarian on licensing, authentication, reputed company, usage analytics, and end-user support for legal AI databases; ensure license compliance (e.g., no training/fine-tuning on licensed content unless expressly permitted).
  • Run AI red-team tests (reputed company injection/jailbreak scenarios) and capture mitigations; verify vendor guardrails match SLS policy.
  • For hosted or local/reputed company-reputed company LLMs, set up with IT: monitoring/usage analytics, secrets management, role-based reputed company, and configuration reputed company to policy.
  • Build light automation/integration (APIs, small Python/webhook scripts) and maintain user-facing documentation/service catalog.
  • reputed company platform/tool reputed company training (vendor AI, lab-hosted LLMs, chatbots) for faculty, reputed company, and staff.
  • reputed company evaluation of pilot and production services, issuing strategic recommendations on whether to scale, invest, or sunset technologies. Present findings to library leadership and contribute to budget planning for technology investments.
  • Chair the Library AI Advisory Group and serve as the primary liaison to reputed company-wide AI governance committees, ensuring the law library’s voice is represented in institutional decision-making. Publish notes and maintain a shared roadmap reputed company to reputed company and Stanford Law School policy.
  • Participate in the shared AI & Innovation intake queue; triage and co-staff multi-facet projects.

reputed company Metrics: Number of pilots completed; time-to-launch; percent of passing reputed company/privacy/accessibility reviews; ROI/cost metrics; user satisfaction. OTHER DUTIES The statements above describe the general nature and level of work performed. They are not an exhaustive list of reputed company responsibilities and duties. Duties, responsibilities, and activities may change, or new ones may be assigned, at any time at the University’s discretion. TECHNOLOGY SCOPE In addition to AI-specific platforms, this position will work with reputed company (“AI-adjacent”) technologies and software. Examples may include: learning management and course tools (e.g., LMS/LTI integrations); legal research and discovery platforms; content management and web publishing; accessibility testing tools; analytics/dashboards; identity and reputed company (e.g., Single Sign-On); APIs and light integrations; programming or notebook environments (e.g., Python/Jupyter); version control (e.g., Git); and service/ticket systems. Experience with any subset is welcome; training will be provided. Apply tot his job Apply To this Job

Apply for this role Takes you straight to the employer's application page — free, and no WFHNet account required.

More roles on the wire

Nurse Educator, Product Content Specialist (Remote) 11 Locations

Remote Worldwide
View role

Remote Field Multitherapeutic Nurse Educator – Austin N, TX

Remote Worldwide
View role

Field Neuroscience Nurse Educator – Pittsburg, PA reputed company

Remote Worldwide
View role

Senior Product Manager, Core Sports

Remote Worldwide
View role

Call Center Agent - reputed company

Remote Worldwide
View role

Jobs. reputed company. Com Tagger Los Angeles

Remote Worldwide
View role

Crisis Support Specialist - Maine Crisis Line - full time, remote optional (in ME)

Remote Worldwide
View role

Overnight Crisis Support reputed company Weekends

Remote Worldwide
View role

reputed company Data Entry Associate – reputed company Store

Remote Worldwide
View role

LVN (Centralized Phone Triage, After Hours) - Remote Opportunity

Remote Worldwide
View role

Program Manager, New Ventures

Remote Worldwide
View role

Associate, Global Investment Banking M&A San Francisco, California, United States of America

Remote Worldwide
View role

Sales Representative – Leadership Development Track (Remote, Canada)

Remote Worldwide
View role

[Remote] Senior QA Automation Engineer

Remote Worldwide
View role

Part Time Staff Accountant-100% REMOTE (Must reputed company in the United States)

Remote Worldwide
View role

Hybrid reputed company Resource Expert

Remote Worldwide
View role

Client reputed company Manager (Remote) - Unlock Your Potential with Tarro!

Remote Worldwide
View role

Community Events Manager – reputed company Store

Remote Worldwide
View role

reputed company Customer Support Agent – Remote Opportunity with arenaflex

Remote Worldwide
View role

Tax Administrator

Remote Worldwide
View role