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Remote Ai In Education Jobs (NOW HIRING)

Phsorg

$87K - $149K/yr

Remote AI Automation Developer Summary: Build your Career. Make a Difference. Presbyterian is ... In office expected for individuals within 60 Miles of Albuquerque every Tues, Wed, Thurs. Remote:

Instant Serve LLC

AI Data Architect /REMOTE

Denver, CO · Remote

$75 - $80/hr

Remote AI Data Architect - Public Sector Location: Preferably Colorado Duration: 6 months We are ... This role requires deep expertise in AI technologies, data architecture, and risk management. The ...

NeuraScale

Remote AI Training & Domain Expert

Manhattan, NY · Remote

$15 - $140/hr

A domain expert, researcher, educator, or professional with deep expertise * Strong proficiency in ... Fully remote and flexible work--you control when and how much you work * A collaborative and global ...

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Remote Ai In Education information

What is a remote AI in education specialist?

A Remote AI in Education specialist is a professional who uses artificial intelligence tools and technologies to enhance educational experiences, often while working from a remote location. They may develop or implement AI-powered learning platforms, personalize student learning pathways, automate administrative tasks, and analyze educational data to improve outcomes. This role requires both expertise in AI and a solid understanding of educational best practices. Remote AI in Education specialists collaborate with educators, administrators, and technology teams to integrate AI solutions into schools, universities, or online learning environments.

How does a remote AI in education specialist typically collaborate with educators and IT teams to implement AI-driven solutions?

Remote AI in Education professionals often work closely with teachers, administrators, and IT staff to tailor AI-powered tools for curriculum enhancement and student support. Collaboration usually involves virtual meetings to discuss educational objectives, technical requirements, and feedback on pilot programs. Effective communication and project management skills are essential, as professionals must translate educational needs into technical features while ensuring data privacy and compliance. This collaborative, cross-functional approach helps maximize the impact of AI solutions in diverse learning environments.

What are the key skills and qualifications needed to thrive as a remote AI in education specialist?

To thrive as a Remote AI in Education Specialist, you need expertise in educational technology, machine learning concepts, curriculum design, and a background in education or computer science. Familiarity with AI tools, learning management systems (LMS), and certifications such as Google for Education or relevant AI credentials are typically required. Strong communication, adaptability, and collaboration skills are essential for engaging with diverse stakeholders and supporting remote learners. These skills ensure effective integration of AI solutions, enhance learning outcomes, and support successful adoption in educational environments.

What is the difference between Remote Ai In Education vs Remote Education Data Analyst?

AspectRemote Ai In EducationRemote Education Data Analyst
Required CredentialsBackground in AI, machine learning, education technologyDegree in education, data analysis, statistics
Work EnvironmentOnline, collaborative platforms, educational institutionsRemote data analysis teams, educational organizations
Industry UsageEdTech companies, AI-driven learning platformsSchools, educational research firms, EdTech companies
Common Search/ComparisonFocuses on AI tools in educationFocuses on analyzing educational data

Remote Ai In Education involves developing and implementing AI solutions to enhance learning experiences, requiring expertise in AI and education technology. Remote Education Data Analysts interpret educational data to inform decisions, requiring skills in data analysis and statistics. While both roles support education, they differ in focus: one centers on AI development, the other on data insights.

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Remote Ai In Education jobs near you
Infographic showing various Remote Ai In Education job openings in the United States as of August 2026, with employment types broken down into 68% Full Time, 16% Part Time, and 16% Contract. Highlights an 100% Remote job distribution.

AI Research Assistant - Machine Learning & AI

StudyFetch

Beverly Hills, CA • On-site, Remote

$35 - $50/hr

Part-time

Posted 14 days ago

Job description

About Studyfetch
StudyFetch is the #1 AI-native learning platform globally, transforming how millions of students learn through personalized AI-powered education. We're growing fast with backing from top-tier investors and a mission that's redefining the future of education and ethical learning.
About the Role
We are looking for a highly motivated Master's student in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field to join our AI research team on a part-time basis.
Our research focuses primarily on the intersection of artificial intelligence and education, including the development and evaluation of AI systems that can improve teaching and learning. You will work directly with researchers and engineers on projects involving machine learning, generative AI, large language models, multimodal AI, educational data, model evaluation, and AI systems.
This is a hands-on research position. You will not simply be assisting with administrative research tasks-you will be expected to read papers, implement ideas, run experiments, analyze results, and contribute to the development of new research directions.
Depending on your interests and experience, your work may include developing and evaluating models, building research datasets, designing benchmarks and evaluation methodologies, reproducing published research, fine-tuning open-source models, analyzing educational data, and investigating novel applications of AI in education.
You will also contribute to the broader research development process, including identifying relevant research opportunities, analyzing RFPs and funding opportunities, and assisting with grant and research proposal development.
What You'll Do
  • Read and analyze recent research papers in machine learning, AI, and AI in education.
  • Implement and reproduce methods from recent research.
  • Design and conduct controlled experiments and ablation studies.
  • Train, fine-tune, and evaluate machine learning models.
  • Develop datasets and data-processing pipelines for AI research.
  • Build and maintain evaluation and benchmarking systems.
  • Analyze model performance and experimental results.
  • Investigate new approaches to improving AI capabilities, reliability, and effectiveness in educational settings.
  • Develop research prototypes in Python and modern ML frameworks.
  • Analyze educational datasets and student interaction data to identify research opportunities and patterns.
  • Document experiments, findings, and methodologies.
  • Collaborate with researchers and engineers to refine research hypotheses.
  • Contribute to technical reports, research papers, presentations, and potentially open-source projects.
  • Research and analyze RFPs, grant opportunities, and government or foundation funding programs relevant to AI and education.
  • Assist with the development of grant proposals, research proposals, technical narratives, and supporting materials.
  • Help identify research questions and proposed technical approaches that align with funding opportunities.
  • Track relevant developments in AI research, education technology, and government research priorities.

Areas of Research
Our research primarily focuses on the application and development of AI for education. Projects may span several areas, including:
  • Large Language Models (LLMs)
  • Generative AI
  • Multimodal AI
  • Computer vision
  • Natural language processing
  • AI tutoring and educational agents
  • Personalized learning
  • Student modeling and learning analytics
  • Model training and fine-tuning
  • Reinforcement learning and post-training
  • AI evaluation and benchmarking
  • Synthetic data generation
  • Representation learning
  • Retrieval-augmented generation (RAG)
  • Educational datasets and data infrastructure
  • AI safety, reliability, and evaluation in education

You do not need experience in all of these areas. Depth in one area, strong research fundamentals, and demonstrated ability to learn quickly are more important than breadth.
Required Qualifications
  • Currently pursuing or recently completed a Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, Statistics, Electrical Engineering, or a closely related field.
  • Strong foundation in machine learning and deep learning.
  • Strong Python programming skills.
  • Experience with at least one modern ML framework, preferably PyTorch.
  • Familiarity with fundamental concepts in neural networks, optimization, and statistical learning.
  • Ability to read and understand technical research papers.
  • Experience conducting technical or academic projects involving machine learning.
  • Strong analytical and problem-solving skills.
  • Strong written communication skills and the ability to clearly explain technical concepts.
  • Ability to work independently while collaborating closely with a research team.
  • Genuine interest in the application of AI to education.
Preferred Qualifications
  • Experience with LLMs, Transformers, multimodal models, computer vision, NLP, reinforcement learning, or generative AI.
  • Experience fine-tuning or training machine learning models.
  • Experience working with GPU-based ML environments.
  • Familiarity with Hugging Face Transformers or similar ML ecosystems.
  • Experience designing datasets, benchmarks, or model evaluations.
  • Experience reproducing results from published research.
  • Research experience through a Master's thesis, research lab, internship, or independent project.
  • Experience working with educational, student, or learning data.
  • Experience with AI evaluation, benchmarking, or experimental design.
  • Publications, preprints, conference submissions, or other demonstrated research output.
  • Contributions to open-source ML/AI projects.
  • Familiarity with Linux, Git, Docker, or distributed computing.
  • Experience researching or writing grant proposals, RFP responses, technical proposals, or research funding applications.
  • Familiarity with federal, state, foundation, or other research funding programs.

What We're Looking For
We're particularly interested in people who are curious, technically rigorous, and excited by the process of discovering something that doesn't already have an obvious answer.
The strongest candidates will be able to demonstrate that they have gone beyond simply completing coursework-for example, by:
  • Building and training their own models.
  • Reproducing a research paper.
  • Conducting an independent ML research project.
  • Developing a substantial Master's thesis.
  • Creating an interesting dataset or benchmark.
  • Investigating why a model succeeds or fails.
  • Working with real-world educational or student data.
  • Publishing or presenting research.
  • Contributing to an open-source ML project.
  • Writing or contributing to a research proposal or grant application.

You do not need to have published a paper to be successful in this role. We care more about your ability to think scientifically, write good code, design meaningful experiments, communicate clearly, and learn quickly.
We also value candidates who are interested in the broader research process-not just model development-including identifying research opportunities, understanding funding priorities, analyzing RFPs, and helping translate technical ideas into compelling research proposals.
Position Details
  • Position: Part-Time AI Research Assistant
  • Focus: Machine Learning & AI for Education
  • Hours: Approximately 15-25 hours per week
  • Location: [Remote / Hybrid]
  • Schedule: Flexible schedule designed to accommodate graduate coursework and research commitments
  • Compensation: $35-50/hour, depending on experience and qualifications

This position is designed for a graduate student who wants meaningful, hands-on experience conducting applied AI research in an industry research environment, with opportunities to contribute to research publications, funded research initiatives, datasets, benchmarks, and real-world AI systems.
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