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Remote Library & Information Science Jobs in Phoenix, AZ

USAA

Mid-Level Decision Science Analyst

Phoenix, AZ · On-site +1

$93K - $179K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... and other relevant information to draw conclusions and make recommendations resulting in ...

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Remote Library Information Science information

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$30.8K

$64.7K

$101.8K

How much do remote library & information science jobs pay per year?

As of Jul 26, 2026, the average yearly pay for remote library & information science in Phoenix, AZ is $64,731.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,100.00 and $74,500.00 per year, depending on experience, location, and employer.

What is a Remote Library & Information Science job?

A Remote Library & Information Science job involves managing, organizing, and providing access to information resources in a digital or virtual environment. Professionals in this field work remotely to support libraries, archives, research institutions, or corporations by cataloging materials, conducting research, and assisting users with information retrieval. They may also manage digital repositories, develop metadata standards, or provide virtual reference services. These roles require strong information management skills, proficiency in digital tools, and the ability to work independently.

Is AI going to replace librarians?

AI is unlikely to replace librarians, as the role requires human skills such as critical thinking, personalized assistance, and community engagement. Librarians use AI tools to enhance information management and improve user services but remain essential for curating collections, providing research support, and understanding user needs. The profession continues to evolve with technology, emphasizing skills in information literacy and digital tools.

Is library science still in demand?

Library science professionals are still in demand, especially in public, academic, and special libraries, as well as in information management roles. Skills in digital resources, data management, and information technology increase employability in this field, which continues to evolve with technological advancements.

What can I do with a library and information science degree?

A library and information science degree prepares individuals for careers as librarians, archivists, information specialists, and data managers. These roles involve organizing, managing, and providing access to information using tools like cataloging systems and digital databases, often requiring knowledge of information technology and classification standards.

What are the key skills and qualifications needed to thrive in the Remote Library & Information Science position, and why are they important?

To thrive in a Remote Library & Information Science role, you should have a strong background in information management, research, organization, and librarianship, usually supported by an MLS/MLIS degree. Familiarity with library management systems (e.g., Koha, Alma), digital resource platforms, and online databases is often required, and certifications such as Certified Information Professional (CIP) can be advantageous. Strong communication, self-motivation, and problem-solving skills help you excel in a remote environment and collaborate virtually with teams or patrons. These abilities ensure efficient information delivery, support user needs, and maintain high service standards despite working remotely.

What degree do I need to be a remote librarian?

To work as a remote librarian, a master's degree in library and information science (MLIS) or a related field is typically required. Additional skills such as proficiency with library management software and strong research abilities are also important for remote positions.

What does a typical workday look like for someone in a Remote Library & Information Science position?

A typical workday in a remote library and information science role often involves managing digital collections, responding to research inquiries, cataloging resources, and providing virtual reference or support services to users. You may attend virtual meetings, collaborate with academic or organizational teams, and participate in online training or professional development. Communication is typically conducted via email, chat, or video conferencing platforms, and a large portion of your tasks are completed independently with periodic check-ins. Balancing multiple projects and maintaining strong organization skills is key to succeeding in this flexible, digitally-driven environment.

What are popular job titles related to Remote Library & Information Science jobs in Phoenix, AZ? For Remote Library & Information Science jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Remote Library & Information Science jobs in Phoenix, AZ look for? The top searched job categories for Remote Library & Information Science jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Remote Library & Information Science jobs? Cities near Phoenix, AZ with the most Remote Library & Information Science job openings:
Remote Library Information Science jobs near you
Infographic showing various Remote Library & Information Science job openings in Phoenix, AZ as of July 2026, with employment types broken down into 81% Full Time, 6% Part Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $64,731 per year, or $31.1 per hour.

Principal AI Data Scientist

MSR Technology Group

Phoenix, AZ • Remote

Full-time

Posted 12 days ago

Job description


Infomatics is partnered with a large retailer that is hiring a Principal AI Data Scientist on a direct hire/FTE basis near Phoenix, AZ. Can work remote. All applicants must be eligible & willing to be hired on W2.

You will lead various AI efforts involving computer vision, deep learning, and nlp in addition to other machine learning model builds. You will not only work on large scale projects to provide value to the customers but are also routinely involved in building our internal R&D capability to have an edge in the analytics industry. You will lead some of the most strategic and very complex problems.
Duties/Responsibilities:
  • Builds and validates machine learning models of high risk/reward problems utilizing large scale data from multiple data sources and methodologies.
  • Uses machine learning techniques to create data-driven solutions for various business use-cases.
  • Writes programs utilizing existing libraries and methodologies.
  • Interprets, communicates, and presents analytic results to C-Level executives and below.
  • Consistently collaborates with fellow data scientists, data engineers, business partners, project managers, cross-functional teams, key stakeholders, and other domains to drive business value.
  • Leads AI best practice sharing opportunities and knowledge of industry trends and innovations in data science.
  • Leads projects with external partners and vendors to develop solutions to meet business needs while resolving any issues that may arise.
  • Contributes to the organization's data strategy and roadmap.
  • Embeds and drives the organization with the most up-to-date AI methodology.
Qualifications:
  • Master's or PhD degree in a quantitative field with 5+ years of data science experience.
  • Applied expertise in artificial intelligence with experience applying natural language processing, computer vision (image processing), and deep leaning. Need to have the capability to leverage current mature mainstream AI application tools and methodology
  • Proficiency in machine learning with familiarity and actual applications of scikit-learn library machine learning techniques such as decision tree, gradient boosting, XGBoost, etc. for regression, classification, or segmentation problems.
  • Programming expertise in Python with familiarity with cloud environments (AWS, Databricks, etc.)
  • Ability to work with large data sets from multiple data sources
  • Ability to communicate complex analytics concepts and techniques to C-Level executives and below
  • Ability to work collaboratively with other data scientists, data engineers, multiple stakeholders across the business, and with external partners
  • Intellectual curiosity, a passion for data, and a results orientation.