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Intern Artificial Intelligence Research Scientist Jobs

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... with artificial intelligence. We collaborate closely with one of the top medical schools in the ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... with artificial intelligence. We collaborate closely with one of the top medical schools in the ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... with artificial intelligence. We collaborate closely with one of the top medical schools in the ...

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How much do intern artificial intelligence research scientist jobs pay per month?

As of Sep 6, 2026, the average monthly pay for intern artificial intelligence research scientist 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 does an intern artificial intelligence research scientist do?

An Intern Artificial Intelligence Research Scientist assists in developing and testing AI models and algorithms under the supervision of experienced researchers. Their tasks often include data collection, data preprocessing, running experiments, analyzing results, and contributing to research papers or technical reports. Interns may also collaborate with other team members, attend meetings, and present findings. The goal is to gain hands-on experience in AI research while contributing to ongoing projects within the organization.

What types of projects and responsibilities can an intern artificial intelligence research scientist expect during their internship?

As an Intern Artificial Intelligence Research Scientist, you can expect to work on a mix of experimental research and applied AI projects. Typical responsibilities include assisting with data preprocessing, developing and testing machine learning models, collaborating with senior researchers, and contributing to academic papers or technical reports. You'll often participate in team meetings, present findings, and receive mentorship to build your technical and research skills. The collaborative and fast-paced environment is designed to help you gain exposure to real-world AI challenges and methodologies.

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

To thrive as an Intern Artificial Intelligence Research Scientist, you need a solid foundation in mathematics, statistics, programming (often Python), and a relevant academic background in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, experience with version control (e.g., Git), and participation in data science competitions or relevant coursework are typically expected. Curiosity, problem-solving ability, and strong communication skills help you collaborate effectively and present research findings clearly. These skills ensure you can contribute meaningfully to innovative projects, adapt to new challenges, and work productively within research teams.

What is the difference between Intern Artificial Intelligence Research Scientist vs Intern Data Scientist?

AspectIntern Artificial Intelligence Research ScientistIntern Data Scientist
Required CredentialsTypically pursuing or holding a degree in Computer Science, AI, or related fields; familiarity with machine learning frameworksUsually pursuing or holding a degree in Data Science, Statistics, or related fields; knowledge of data analysis tools
Work EnvironmentResearch labs, tech companies, academic institutions focusing on AI developmentBusiness environments, analytics teams, tech companies analyzing data for insights
Employer & Industry UsageResearch-focused roles in AI and machine learning developmentData analysis and visualization roles across various industries

Intern Artificial Intelligence Research Scientists focus on developing and testing AI algorithms, often in research settings, while Intern Data Scientists analyze data to generate insights. Both roles require a background in related fields but differ in their primary focus and work environment.

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Intern Artificial Intelligence Research Scientist jobs near you
Infographic showing various Intern Artificial Intelligence Research Scientist 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.

Research Scientist Intern (2025) - Now Hiring

AIToolboard

Adelphi, MD • On-site

$50 - $70/hr

Other

Posted 5 days ago

Job description

Jobs / Research Scientist Intern (2025) - Now Hiring

Research Scientist Intern (2025) - Now Hiring

Full-time

About the Role

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers
Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities
  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision
Must Have Experience
  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python
Nice to Have Experience
  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity
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