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Ai Research Internship Jobs (NOW HIRING)

Alinia AI

Applied AI Research Intern

At Alinia, our Applied AI Research Interns play a pivotal role in exploring new possibilities and capabilities for Alinia's Alignment Platform. This role demands a scientific mindset, a technical ...

Eight Sleep

AI/ML Research Internship

San Francisco, CA · On-site

The Role Eight Sleep is looking for Machine Learning research interns to work on AI/ML problems in the sleep fitness and personal health space. You'll work closely with a cross-functional team to ...

Silimate

AI Research Intern

Mountain View, CA · On-site

Software Intern For Ai Research We're hiring software interns with significant experience with AI research (across models, algorithms, and training methodology) to help push the frontier of our AI ...

Eight Sleep

AI/ML Research Internship

San Francisco, CA · On-site

The Role Eight Sleep is looking for Machine Learning research interns to work on AI/ML problems in the sleep fitness and personal health space. You'll work closely with a cross-functional team to ...

OpusClip

AI Research Intern

Mountain View, CA · On-site

AI Research Intern We're looking for an AI Research Intern to join our AI team and explore cutting ... Flexible remote/on-site internship (3 days/week required, 4+ days/week preferred). EEO OpusClip is ...

University of Maryland

AI Research Assistant

College Park, MD · On-site

$19 - $26.25/hr

The AI Research Assistant will assist the AI/Machine Learning lead for DE Bioeffects project in ... Demonstrated hands-on experience - through coursework, research, internship, or a personal project ...

Umd

AI Research Assistant

College Park, MD

$19 - $26.25/hr

The AI Research Assistant will assist the AI/Machine Learning lead for DE Bioeffects project in ... Demonstrated hands-on experience - through coursework, research, internship, or a personal project ...

1910

AI Research Scientist I

Boston, MA · On-site

As an AI Research Scientist I at 1910 you will be expected to roll up your sleeves as an Individual ... Relevant industry experience via internship and co-op (AI, Drug Discovery, etc.) #LI-Onsite

1910

AI Research Scientist I

Boston, MA · On-site

As an AI Research Scientist I, you will contribute to drug design campaigns by applying AI/ML ... internship and co-op (AI, Drug Discovery, etc.) Company : We are the only AI-native biotech ...

1910

AI Research Scientist I

Boston, MA · On-site

As an AI Research Scientist I, you will contribute to drug design campaigns by proposing AI ... internship and co-op (AI, Drug Discovery, etc.) Company : We are the only AI-native biotech ...

1910

AI Research Scientist I

Boston, MA · On-site

As an AI Research Scientist I, you will contribute as an Individual Contributor, proposing AI ... internship and co-op (AI, Drug Discovery, etc.) Company : We are the only AI-native biotech ...

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Ai Research Internship information

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How much do ai research internship jobs pay per month?

As of Sep 1, 2026, the average monthly pay for ai research internship in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 per month, depending on experience, location, and employer.

What is an AI research internship?

An AI Research Internship is a temporary position, typically for students or recent graduates, where individuals work with experienced researchers to develop and advance artificial intelligence technologies. Interns often participate in cutting-edge projects involving machine learning, data analysis, and algorithm development. The role provides hands-on experience with real-world AI challenges, collaborative team environments, and opportunities to contribute to academic publications or innovative products. These internships are valuable for gaining practical skills, networking with professionals, and preparing for future careers in AI.

What types of projects and collaboration can I expect during an AI research internship?

As an AI Research Intern, you'll typically work on projects that contribute to ongoing research initiatives, such as developing machine learning models, analyzing datasets, or experimenting with new algorithms. You'll collaborate closely with senior researchers, data scientists, and fellow interns, often participating in team meetings, code reviews, and brainstorming sessions. This collaborative environment not only enhances your technical skills but also exposes you to various research methodologies and real-world applications. Interns are encouraged to share ideas and may have opportunities to co-author research papers or present findings, providing valuable experience for future academic or industry roles.

What are the key skills and qualifications needed to thrive as an AI research intern, and why are they important?

To thrive as an AI Research Intern, you need a strong background in computer science, mathematics, and machine learning, typically supported by ongoing or completed studies in a related field. Familiarity with programming languages like Python, machine learning libraries such as TensorFlow or PyTorch, and data analysis tools is essential. Curiosity, problem-solving ability, and effective communication are crucial soft skills that help interns contribute to innovative research and collaborate with teams. These skills enable interns to effectively develop, test, and communicate novel AI solutions, driving progress in fast-evolving research environments.

What is the difference between Ai Research Internship vs Data Science Internship?

AspectAi Research InternshipData Science Internship
Required SkillsMachine learning, deep learning, AI algorithmsStatistics, data analysis, programming
Work EnvironmentResearch labs, AI-focused teamsData analysis teams, business units
Industry UsageAI development, research institutionsBusiness analytics, product development

While both internships involve working with data and programming, an Ai Research Internship focuses on developing and advancing AI algorithms and models, often in research settings. In contrast, a Data Science Internship emphasizes analyzing data to derive insights and support decision-making. The roles share skills like programming and statistical knowledge but differ in their primary objectives and work environments.

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Ai Research Internship jobs near you
Infographic showing various Ai Research Internship job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $77,274 per year, or $37.2 per hour.

AI Research Internship - LLM

Institute of Foundation Models

Sunnyvale, CA

Internship

Re-posted 19 days ago

Job description

About the Institute of Foundation Models
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
 
As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
 
Key Responsibilities
This intensive, short-term internship offers a unique opportunity for aspiring AI engineers to;
• Collect, prepare and processing training and validation datasets.
• Assist in designing and tweaking model architectures.
• Implement testing frameworks to assess model performance.
• Analyze model outputs for accuracy and bias.
• Participate in the review and refinement of AI algorithms.
• Document findings and procedures for team collaboration.
 
Academic Qualifications
Currently pursuing or recently completed a Master's, or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Applied Mathematics, Statistics, or a related quantitative field.