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Remote Library Science Masters Jobs (NOW HIRING)

US remote-friendly Reddit has a flexible first workforce. At Reddit we continue to grow our teams ... About the Ads Data Science Team: The Ads Data Science team at Reddit leverages data to maximize ...

Data Scientist

Colorado Springs, CO ยท On-site +1

$120K - $160K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Scientist to join ... Masters and three (3) years or more experience; PhD or JD and zero (0) years or more experience ...

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Remote Library Science Masters information

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$29K

$59.9K

$94K

How much do remote library science masters jobs pay per year?

As of Sep 10, 2026, the average yearly pay for remote library science masters in the United States is $59,852.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $78,500.00 per year, depending on experience, location, and employer.
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What states have the most Remote Library Science Masters jobs?

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Infographic showing various Remote Library Science Masters job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 1% As Needed, 75% Full Time, 20% Part Time, and 2% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $59,852 per year, or $28.8 per hour.

AI Data Science Expert - Remote

Miami, FL โ€ข Remote

$100 - $200/hr

Part-time

Re-posted 17 hours ago


Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.