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Part Time Remote Library & Information Science Jobs

Allied Universal

Trainer, Part-time, Remote

Jupiter, FL · On-site +1

$27/hr

This will be accomplished by utilizing the information obtained through training/shadowing to ... Must have previous virtual training experience Part-time (20-25 hours/week) $27.00 per hour Remote ...

Mad Science

Mad Science Performer SWMO

Lenexa, KS · On-site +1

$30 - $45/hr

... libraries. Candidates must have experience working with groups of elementary school age kids, a fun ... Multiple Locations in the SWMO Area Job Type: Part-time After completing the paid training sessions ...

American Straight A Academy

American Straight A Academy (ASAA) Part-Time Remote High School Science Teachers Wanted Teach globally. Work flexibly. Join a fast-growing international online school delivering American high school ...

Aston Carter

$24 - $30/hr

This part-time, fully remote role centers on accurate payroll data entry, new hire setup, and ... Perform payroll data entry tasks, including time and attendance information, rate changes, and ...

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How much do part time remote library & information science jobs pay per hour?

As of May 28, 2026, the average hourly pay for part time remote library & information science in the United States is $15.74, according to ZipRecruiter salary data. Most workers in this role earn between $11.78 and $17.55 per hour, depending on experience, location, and employer.

What is the difference between Part Time Remote Library & Information Science vs Part Time Remote Archivist?

AspectPart Time Remote Library & Information SciencePart Time Remote Archivist
CredentialsMLS or MLIS often requiredMLS or MLIS often required
Work EnvironmentPublic, academic, or special librariesArchives, museums, or historical institutions
Industry UsageLibraries, educational institutions, governmentHistorical societies, museums, government agencies
Search & Comparison IntentFocus on library services and information managementFocus on preserving and organizing historical records

Both roles often require similar credentials and work remotely, but Library & Information Science professionals typically work in libraries providing access to information, while Archivists focus on preserving historical records and artifacts. The choice depends on your interest in public information access versus historical preservation.

What cities are hiring for Part Time Remote Library & Information Science jobs? Cities with the most Part Time Remote Library & Information Science job openings:
What are the most commonly searched types of Remote Library & Information Science jobs? The most popular types of Remote Library & Information Science jobs are:
What states have the most Part Time Remote Library & Information Science jobs? States with the most job openings for Part Time Remote Library & Information Science jobs include:
Part Time Remote Library Information Science jobs near you

Data Scientist (Part-Time | Remote | $60 -$100/hr)

Call For Referral

San Francisco, CA • Remote

$60 - $100/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Data Scientist (Part-Time | Remote | $60 –$100/hr) Call For Referral provided pay range This range is provided by Call For Referral. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $60.00/hr - $100.00/hr Direct message the job poster from Call For Referral Helping AI Startups Hire 0→1 Founding Engineers & Product Talent | Backend & Infra | US & Europe Exceptional Data Scientists Hourly Contract | Part-Time Remote | $60–$100 per hour 1.

About the Role Mercor is partnering with one of the world's leading AI research labs to engage experienced Data Scientists in developing robust, high-performance systems that power next-generation machine learning applications. In this role, you will perform hands‐on data science work — from experiment design and data preprocessing to model development, evaluation, and deployment. You will also play a key role in writing, reviewing, and validating prompt-based datasets that train AI systems to think and reason more effectively.

This is a remote, part‐time opportunity ideal for data scientists who thrive in research‐driven, highly technical environments. 2. Key Responsibilities Design and execute data science experiments for AI model development and evaluation.

Collect, preprocess, and analyze structured and unstructured datasets. Build and validate machine learning models using modern frameworks (TensorFlow, PyTorch, scikit‐learn, etc.). Conduct feature engineering, data wrangling , and statistical inference for experimentation and model optimization.

Write, review, and validate prompt-based questions and tasks used to train advanced AI models. Collaborate closely with engineering and research teams to deploy production‐ready solutions. 3.

Ideal Qualifications 3+ years of professional experience in data science or applied analytics . Proficiency in Python (Jupyter Notebooks) and libraries such as NumPy, Pandas, SciPy, SymPy, scikit‐learn, TensorFlow, or PyTorch . Bachelor's degree in Data Science, Statistics, Computer Science , or a related field from the U.S., Canada, U.K., Australia, or New Zealand .

Strong foundation in: Exploratory data analysis and statistical inference Machine learning workflows and model evaluation Feature engineering, data preprocessing, and wrangling A/B testing, experimentation, or causal inference Excellent verbal and written communication skills. Meticulous attention to detail and data quality. 4.

More About the Opportunity Commitment: 20 – 40 hours per week (with potential to scale up to 80) Schedule: Fully remote and asynchronous — work on your own time Duration: Minimum 1 month, with potential extension based on performance Start Date: Early September (applications reviewed on a rolling basis) 5. Compensation & Contract Terms Hourly Rate: $60–$100/hour (based on experience and region) Payments: Weekly via Stripe Connect for services rendered Terms: Flexible, based on location and expertise 6. Application Process Submit your resume or portfolio to begin.

Complete a brief form outlining your technical background and agent usage experience. Applications are reviewed continuously — selected candidates will be contacted for next steps. PS: Mercor reviews applications daily.

Please complete your interview and onboarding steps to be considered for this opportunity. #J-18808-Ljbffr

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