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Remote Librarian Jobs (NOW HIRING)

Rula Health

Engineering Manager - Platform (Remote)

$206K - $243K/yr

... is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii ... libraries our product engineering teams use across the Rula ecosystem. You will lead a team of ...

The Pennsylvania State University

For additional information on remote work at Penn State, seeNotice to Out of State Applicants. POSITION SPECIFICS Penn State University Libraries seeks applications for the position of Head of ...

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$31K

$65.2K

$102.5K

How much do remote librarian jobs pay per year?

As of Jun 9, 2026, the average yearly pay for remote 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.

What are the key skills and qualifications needed to thrive as a Remote Librarian, and why are they important?

To thrive as a Remote Librarian, you need a solid background in library and information science, often demonstrated by an MLIS degree and experience with digital resource management. Familiarity with integrated library systems (ILS), online databases, and virtual reference tools is essential. Strong communication, self-motivation, and customer service skills are crucial for effectively assisting patrons and collaborating with colleagues in a virtual environment. These skills ensure that information needs are met efficiently and accurately, regardless of physical location.

What is a remote librarian?

A remote librarian is a professional who provides library services and support to users from a distance, typically through online platforms. Their duties may include helping patrons with research, managing digital resources, answering reference questions via chat or email, and offering virtual instruction on information literacy. Remote librarians often work from home or other offsite locations, utilizing technology to connect with library users. This role is increasingly important as more library services move online to accommodate remote access and digital learning.

What is the difference between Remote Librarian vs Remote Archivist?

AspectRemote LibrarianRemote Archivist
CredentialsMLS or MLIS degree, library certificationsArchival certifications, e.g., CA or ARA
Work EnvironmentPublic, academic, or special librariesArchives, museums, historical institutions
Employer & IndustryLibraries, educational institutions, governmentArchives, museums, government agencies
Search & Comparison IntentJob roles, responsibilities, remote opportunitiesArchival work, preservation, digital archives

Remote Librarians and Remote Archivists share similar credentials and often work in information management. While librarians focus on providing access to library resources and assisting users, archivists specialize in preserving and organizing historical records. Both roles can be performed remotely and are in demand across various institutions. Understanding these differences helps job seekers find the right position aligned with their skills and interests.

What Does a Remote Librarian Do?

Remote librarians manage online resources for a library. Instead of working in the office, remote librarians complete their job duties from home or another location with internet connectivity. Your specific responsibilities as a virtual librarian depend on the area in which you specialize. You can specialize in digital resource management, which involves obtaining electronic books and other resources and making them available to library patrons. A remote librarian can also organize a library catalog or manage a database of information and resources for research. University libraries hire remote archivists to obtain digital documents and resources and select those that have informational or research value for inclusion in an archive.

How does a Remote Librarian typically collaborate with patrons and colleagues despite working offsite?

Remote Librarians rely heavily on digital tools to support both patrons and team members. They often use video conferencing, live chat, email, and library management systems to answer reference questions, conduct research consultations, and participate in staff meetings. Effective communication skills and comfort with technology are essential, as remote librarians must proactively engage with users and colleagues, sometimes across different time zones. Collaboration is fostered through shared digital workspaces and regular virtual check-ins, ensuring that the library's services remain accessible and cohesive.
More about Remote Librarian jobs
What cities are hiring for Remote Librarian jobs? Cities with the most Remote Librarian job openings:
What are the most commonly searched types of Librarian jobs? The most popular types of Librarian jobs are:
What states have the most Remote Librarian jobs? States with the most job openings for Remote Librarian jobs include:
What job categories do people searching Remote Librarian jobs look for? The top searched job categories for Remote Librarian jobs are:
Remote Librarian jobs near you
Infographic showing various Remote Librarian job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $65,193 per year, or $31.3 per hour.
Open-Source Machine Learning Engineer - US Remote

Open-Source Machine Learning Engineer - US Remote

Hugging Face

New York, NY • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Posted 11 days ago

Job description

At Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 11 million users who collectively shared over 4 million models, 1 million datasets & 1.5 million Gradio apps. Our open-source libraries have more than 700,000 stars on Github.
About the Role
As an Open-Source Machine Learning Engineer, you'll work to improve the open-source machine learning ecosystem. You'll mainly work on existing open-source libraries such as Transformers, Datasets, Pytorch and vLLM, and you'll interact with users and contributors across the broad open-source ML ecosystem. We'll brainstorm with you to put you in a position to do the work that interests you and that is impactful.
You'll help foster one of the most active machine learning communities, helping users contribute to and use the tools you build. You'll work with researchers, ML practitioners, and data scientists every day through GitHub, our forums, and Slack.
About You
You have a public track record of open-source work, and you enjoy collaborating with a community out in the open on GitHub. You love open source, you're passionate about making complex technology more accessible, and you want to contribute to one of the fastest-growing ML ecosystems. If that's you, we can't wait to see your application.
What you'll need
  • Strong Python skills, with experience writing clean, well-tested, maintainable library code
  • Deep hands-on experience with a modern deep-learning framework, especially PyTorch (JAX or TensorFlow a plus)
  • Practical experience with the Hugging Face open-source stack (Transformers, Datasets, Accelerate) or comparable ML libraries
  • A public track record of open-source contributions, for example merged pull requests to ML or data libraries, that we can review on GitHub
  • Solid understanding of modern machine learning and deep learning, including transformer architectures
  • Experience collaborating with a technical community in the open (GitHub issues and reviews, forums, Slack or Discord)
  • Fluent written English for asynchronous collaboration across a distributed, global community
Nice to have
  • Experience maintaining an open-source project
  • Prior contributions to Transformers, Datasets, Accelerate, or similar libraries
  • Familiarity with distributed training, inference optimization, or GPU/accelerator performance work
  • Experience training or fine-tuning models at scale
A note on fit
If you're interested in joining us but don't tick every box above, we still encourage you to apply. We're building a diverse team whose skills, experiences, and backgrounds complement one another, and we're happy to consider where you might make the biggest impact.
One more thing
At Hugging Face we believe great AI shouldn't require a massive cluster, we build for everyone, especially the GPU-poor. And because we read every application, here's a small sign that you read this one too: start your answer to the first application question with the words "GPU-poor and proud ". No trick, no catch, it just tells us a real person is on the other side.
More about Hugging Face
We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported-regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.
We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off.
We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.
We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.
We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.
Requirements
Please provide a cover letter mentioning why you would like to work in open-source at Hugging Face. We encourage you to mention your skills, potential expertise, and topics on which you would like to work.

Apply