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Remote Ai Computer Science Jobs in Simi Valley, CA

YO AI Labs

AI Data Science Expert - Remote

Los Angeles, CA · Remote

$100 - $200/hr

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 ...

YO AI Labs

AI Consulting Expert - Remote

Los Angeles, CA · Remote

$100 - $200/hr

AI Consulting Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their consulting expertise to an ...

Qvest US

Senior Manager, Applied AI

Los Angeles, CA · On-site +1

Bachelor's degree in engineering, information systems, computer science, business administration ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

YO AI Labs

Dutch Bilingual Expert - Remote

Los Angeles, CA · Remote

$30 - $65/hr

No prior AI experience is required. Strong Dutch language expertise, English communication skills, and attention to detail are the key requirements for this role. Key Responsibilities * Listen to ...

New

Qvest US

Manager - Applied AI

Los Angeles, CA · On-site +1

Bachelor's degree in engineering, information systems, computer science, business administration ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Qvest US

Manager - Applied AI

Los Angeles, CA · On-site +1

Bachelor's degree in engineering, information systems, computer science, business administration ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Qvest US

Consultant - Applied AI

Los Angeles, CA · On-site +1

Bachelor's degree in engineering, information systems, computer science, business administration ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

ZipRecruiter

Decision Scientist II, Mobile

Santa Monica, CA · On-site +1

$130K - $155K/yr

Powered by AI-driven smart matching technology, the company actively connects job seekers with ... Bachelor's degree in a quantitative field such as mathematics, computer science, statistics, or ...

Qvest US

Senior Manager, Applied AI

Los Angeles, CA · On-site +1

Bachelor's degree in engineering, information systems, computer science, business administration ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Qvest US

Consultant - Applied AI

Los Angeles, CA · On-site +1

Bachelor's degree in engineering, information systems, computer science, business administration ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Qvest US

Senior Consultant - Applied AI

Los Angeles, CA · On-site +1

Bachelor's degree in engineering, information systems, computer science, business administration ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Qvest US

Senior Consultant - Applied AI

Los Angeles, CA · On-site +1

Bachelor's degree in engineering, information systems, computer science, business administration ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

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All JobsAi Computer Science JobsRemote Ai Computer Science JobsRemote Ai Computer Science Jobs in Simi Valley, CA

Remote Ai Computer Science information

See Simi Valley, CA salary details

$86.2K

$105.8K

$139.9K

How much do remote ai computer science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote ai computer science in Simi Valley, CA is $105,810.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,900.00 and $118,700.00 per year, depending on experience, location, and employer.

What is a remote AI computer science job?

A remote AI computer science job involves working from a location outside a traditional office—often from home—on tasks related to artificial intelligence and computer science. Professionals in this role typically develop, test, and deploy AI models, analyze large datasets, and write code to solve complex problems. They may collaborate with teams using online tools and are expected to stay updated on the latest AI technologies and programming languages. This job can be found in industries ranging from tech startups to large corporations, and offers flexibility in work schedule and location.

What are the key skills and qualifications needed to thrive as a remote AI computer scientist?

To thrive as a Remote AI Computer Scientist, you need a strong background in computer science, programming (Python, Java, or C++), and a solid understanding of machine learning algorithms, typically supported by a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms, and relevant certifications like TensorFlow Developer or AWS Certified Machine Learning are common technical requirements. Excellent problem-solving skills, self-motivation, and effective remote communication are soft skills that set top performers apart. These abilities are critical for developing innovative AI solutions, collaborating with distributed teams, and adapting to rapidly changing technology landscapes.

What are the typical collaboration methods for remote AI computer science professionals working on team projects?

Remote AI Computer Science professionals often collaborate using a combination of cloud-based code repositories, video conferencing, and project management tools. Teams typically hold regular virtual stand-ups, code review sessions, and brainstorming meetings to ensure alignment and knowledge sharing. Effective communication and documentation are crucial, as team members may be in different time zones. Additionally, pair programming and collaborative debugging sessions are common practices to maintain code quality and foster team cohesion.

What are popular job titles related to Remote Ai Computer Science jobs in Simi Valley, CA?

For Remote Ai Computer Science jobs in Simi Valley, CA, the most frequently searched job titles are:

What job categories do people searching Remote Ai Computer Science jobs in Simi Valley, CA look for?

The top searched job categories for Remote Ai Computer Science jobs in Simi Valley, CA are:

What cities near Simi Valley, CA are hiring for Remote Ai Computer Science jobs?

Cities near Simi Valley, CA with the most Remote Ai Computer Science job openings:

Remote Ai Computer Science jobs near you
Infographic showing various Remote Ai Computer Science job openings in Simi Valley, CA as of August 2026, with employment types broken down into 5% Internship, 69% Full Time, 19% Part Time, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $105,810 per year, or $50.9 per hour.

AI Research Assistant - Machine Learning & AI

StudyFetch

Beverly Hills, CA • On-site, Remote

$35 - $50/hr

Part-time

Posted 4 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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