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Remote Masters Political Science information

What is the difference between Remote Masters Political Science vs Remote Political Analyst?

AspectRemote Masters Political ScienceRemote Political Analyst
Required CredentialsBachelor's or Master's in Political Science or related fieldBachelor's or Master's in Political Science, Public Policy, or related field
Work EnvironmentRemote, research-focused, academic or policy settingsRemote, data analysis, report writing, policy evaluation
Employer & Industry UsageUniversities, research institutes, government agenciesThink tanks, government agencies, consulting firms
Common Search & ComparisonYesYes

Remote Masters Political Science and Remote Political Analyst roles both require a background in political science, often with advanced degrees. While the former emphasizes academic research and education, the latter focuses on analyzing political data and policy impacts. Both roles are typically remote and serve similar industries, but their primary functions differ—academic research versus policy analysis.

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Remote Masters Political Science jobs near you
Infographic showing various Remote Masters Political Science 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.

AI Data Science Expert - Remote

Houston, TX • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$100 - $200/hr

Part-time

Re-posted 2 days 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.