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Remote Library & Information Science Jobs in Florida

Lead DS- Remote

Miami, FL ยท On-site +1

$90 - $100/hr

Lead Data Scientist - Revenue Optimization & Pricing Location: Remote Compensation: $90-$100 hourly ... Experience with optimization libraries such as: * SciPy * GEKKO * Similar optimization frameworks

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We ...

IT Specialist

Rockledge, FL ยท On-site +1

Provide onsite and remote IT support across all company facilities, ensuring technology systems ... Bachelor's degree in Information Technology, Computer Science, or related field, or equivalent ...

IT Specialist

Melbourne, FL ยท On-site +1

Provide onsite and remote IT support across all company facilities, ensuring technology systems ... Bachelor's degree in Information Technology, Computer Science, or related field, or equivalent ...

IT Specialist

Titusville, FL ยท On-site +1

Provide onsite and remote IT support across all company facilities, ensuring technology systems ... Bachelor's degree in Information Technology, Computer Science, or related field, or equivalent ...

Provide onsite and remote IT support across all company facilities, ensuring technology systems ... Bachelor's degree in Information Technology, Computer Science, or related field, or equivalent ...

Requisition ID: 19482 Remote Work Available: Yes Job Title: Information Security Engineer ... Bachelor's Degree - Computer Science, Engineering, Information Technology, or related discipline.

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Remote Library Information Science information

See Florida salary details

$23.2K

$48.7K

$76.6K

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

As of Jun 10, 2026, the average yearly pay for remote library & information science in Florida is $48,718.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $56,000.00 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.

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 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 the most commonly searched types of Library & Information Science jobs in Florida? The most popular types of Library & Information Science jobs in Florida are:
What are popular job titles related to Remote Library & Information Science jobs in Florida? For Remote Library & Information Science jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Library & Information Science jobs in Florida look for? The top searched job categories for Remote Library & Information Science jobs in Florida are:
What cities in Florida are hiring for Remote Library & Information Science jobs? Cities in Florida with the most Remote Library & Information Science job openings:
Infographic showing various Remote Library & Information Science job openings in Florida as of June 2026, with employment types broken down into 81% Full Time, 13% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $48,718 per year, or $23.4 per hour.
Data Scientist

Full-time

Medical, Dental, PTO

Posted 28 days ago


Job description

A.I.S., Inc. (AIS) is a national scientific services firm supporting maritime activities requiring certification of compliance with environmental regulation ns as well as collecting data for use by Federal, State, Municipal, and other government agencies along the US coastline. AIS is seeking a Data Scientist to support NOAAs SEFSC Advanced Technology and Innovation Branch.


Primary Function:

This role supports the integration, processing, and analysis of diverse data types to improve scientific understanding and operational efficiency across SEFSC survey programs.


Duties/Responsibilities:

  • Manage, organize, and support analysis of multi-source datasets collected across SEFSC surveys, including acoustic, video, environmental DNA, multibeam, and aerial imagery data
  • Coordinate with project partners to ensure data collection and sensor configurations support downstream analytical and AI/ML applications
  • Maintain familiarity with diverse data types and assist with field data collection activities as needed
  • Organize and document datasets and metadata in accordance with established data management protocols
  • Perform QA/QC on incoming datasets and evaluate suitability for inclusion in advanced analytical workflows
  • Support data curation and storage, including cloud-based data repositories
  • Assist with preparation and archiving of datasets in accordance with government data standards
  • Develop, test, and evaluate analytical workflows and models to improve data processing efficiency
  • Support annotation of datasets and development of machine learning models, including training and validation of classifiers and detection systems
  • Generate data products suitable for use by downstream scientific stakeholders (e.g., stock assessment scientists)
  • Maintain awareness of SEFSC analytical needs and existing workflows to align data science efforts with mission priorities
  • Participate in interdisciplinary working groups and collaborative research efforts
  • Support proposal development, manuscript review, and scientific reporting activities
  • Participate in outreach and stakeholder engagement activities as required
  • Prepare for and participate in scientific meetings, workshops, and symposia


Compensation: Candidates will be paid an hourly rate to be negotiated, and total compensation will vary depending on candidates' depth of experience. This is a full-time position. AIS benefits package includes health and dental insurance, vacation, sick and holiday benefits.

Minimum Qualifications:

  • Master's degree in data science, computer science, marine biology, or related field, OR Bachelor's degree with 1+ year of relevant research experience
  • Experience applying machine learning, statistical analysis, or advanced analytical techniques
  • Proficiency in programming languages such as Python or R
  • Experience working with large datasets and data management workflows
  • Familiarity with cloud computing platforms (e.g., Google Cloud Platform or similar)
  • Experience with relational databases
  • Strong written and oral communication skills
  • Ability to work collaboratively across multidisciplinary teams
  • Ability to translate complex datasets into actionable scientific products
  • Strong analytical and problem-solving skills
  • Ability to manage multiple datasets and analytical workflows simultaneously
  • Effective communication of technical concepts to non-technical stakeholders


Preferred Qualifications:

  • PhD in data science, computer science, marine science, or related field
  • Experience developing and deploying machine learning models
  • Experience with cloud-based ML workflows and scalable data processing
  • Experience working with fisheries, environmental, or ecological datasets
  • Experience with AI/ML model architecture and performance evaluation


Travel:

  • Travel required (limited) for field data collection, collaboration meetings, and scientific conferences.


Location:

  • Remote
  • Must be willing to relocate if needed.

Contact:

If you would like to apply for this exciting new opening, please visit our Careers Page to submit the required information:

  • Resume
  • Cover letter detailing relevant experience.
  • 3 professional references (name, email address and phone number)

All documents must be submitted for your application to be considered. If you have any questions pertaining to this opening, please reach out to our Talent Team or call 774-770-5833.


An Equal Opportunity Employer

It is the policy of A.I.S. to recruit, hire, train, promote, transfer and compensate our employees and provide all other conditions of employment including Company sponsored events without regard to race, color, creed, religion, national origin, age, sex, gender identity, genetic information, marital status, lawful alien status, sexual orientation, physical or mental disability, citizenship status, veteran status or any other status protected by applicable law.

Must be able to work in the U.S. VEVRAA Federal Contractor Request Priority Protected Veteran Referrals Equal Opportunity Employer