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Remote Library Science Masters Jobs in Texas (NOW HIRING)

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Bachelor's degree or equivalent professional experience required; an advanced degree (Master's, MBA ...

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Bachelor's degree or equivalent professional experience required; an advanced degree (Master's, MBA ...

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Bachelor's degree or equivalent professional experience required; an advanced degree (Master's, MBA ...

Bachelor's Degree in Business Administration or Computer Science, MBA or Master's Degree preferred ... Remote

Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Principal Software Engineer

Cedar Park, TX · On-site +1

$126K - $170K/yr

Fully remote candidates may also be considered, provided they can travel to Austin for ... Masters or PhD in Computer Science, Robotics, Aerospace Engineering, Electrical Engineering, or a ...

Strong proficiency in Python, including experience with common data science libraries such as ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Work Environment: * 100% remote - must work in CST * 8am-5pm (9 hour day with one hour lunch break ... * MBA preferred; Science, Technology, Engineering, Mathematics and/or other quantitative ...

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Remote Library Science Masters information

What are the most commonly searched types of Library Science Masters jobs in Texas?

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The top searched job categories for Remote Library Science Masters jobs in Texas are:

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Infographic showing various Remote Library Science Masters job openings in Texas as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 21% Part Time, and 3% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution.

AI Data Science Expert - Remote

YO AI Labs

Dallas, TX • Remote

$100 - $200/hr

Part-time

Posted 9 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.