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How much do internship applied intelligence jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for internship applied intelligence in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

What is the difference between Internship Applied Intelligence vs Data Analyst Intern?

AspectInternship Applied IntelligenceData Analyst Intern
Required CredentialsRelevant coursework, basic programming skillsStatistics, data analysis, programming knowledge
Work EnvironmentTech companies, AI-focused teamsBusiness, finance, tech sectors
Employer & Industry UsageAI and machine learning firms, tech giantsCorporations, consulting firms, startups
Common Search & Comparison IntentUnderstanding roles in AI internshipsExploring data analysis internship opportunities

Internship Applied Intelligence focuses on AI and machine learning projects, requiring knowledge of programming and AI concepts. In contrast, Data Analyst Internships emphasize data interpretation, statistical analysis, and business insights. Both roles are valuable entry points in tech and data-driven industries, but they target different skill sets and industry applications.

What types of projects can I expect to work on as an Applied Intelligence intern, and how will I collaborate with other team members?

As an Applied Intelligence intern, you will typically work on data-driven projects such as developing predictive models, analyzing large datasets, or supporting the implementation of AI solutions for real-world business challenges. You’ll often collaborate with data scientists, engineers, and business analysts, participating in brainstorming sessions, stand-up meetings, and code reviews. Interns are encouraged to contribute their ideas and may also assist in preparing presentations or reports for stakeholders. This collaborative and fast-paced environment offers valuable exposure to both technical tasks and strategic problem-solving.

What is an Internship in Applied Intelligence?

An Internship in Applied Intelligence is a temporary position for students or recent graduates to gain hands-on experience working with data analytics, artificial intelligence, and machine learning technologies. Interns typically assist in analyzing large datasets, developing AI models, and supporting business decision-making through data-driven insights. This role allows individuals to apply theoretical knowledge in real-world scenarios while working under the guidance of experienced professionals. Such internships are valuable for building practical skills and preparing for a career in data science or AI-related fields.

What are the key skills and qualifications needed to thrive as an Internship Applied Intelligence, and why are they important?

To thrive in an Internship Applied Intelligence role, you typically need strong analytical thinking, problem-solving abilities, and a background in data science, statistics, or computer science, often supported by ongoing or completed relevant education. Familiarity with data analysis tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI is commonly required. Strong communication, teamwork, and adaptability help interns effectively present insights and collaborate with multidisciplinary teams. These skills and qualities are crucial for extracting meaningful patterns from complex data and contributing valuable recommendations to business decisions.
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Internship Applied Intelligence jobs near you
Infographic showing various Internship Applied Intelligence job openings in the United States as of July 2026, with employment types broken down into 76% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.
Research Scientist Intern PhD, Applied Research

Research Scientist Intern PhD, Applied Research

Meta

Menlo Park, CA

Internship

Re-posted 5 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

135th of 209 rated software companies

Job description

Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.Meta is seeking Research Interns to join our Products and Applied Research team. We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern PhD, Applied Research Responsibilities:
  • Develop novel state-of-the-art generative AI algorithms and corresponding systems, leveraging various deep learning techniques
  • Help analyze and improve safety and robustness of corresponding deployed algorithms based on the project
  • Perform research to advance the science and technology of intelligent machines
  • Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
  • Disseminate research results
  • Publish research results and contribute to research that can be applied to Meta product development

Minimum Qualifications:
  • Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Computer Vision, Audio Processing, Artificial Intelligence, Generative AI, or relevant technical field
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
  • Research experience in machine learning, deep learning, computer vision and/or natural language processing
  • Experience with Python, C++, C, Java or other related languages
  • Experience with deep learning frameworks such as Pytorch or Tensorflow

Preferred Qualifications:
  • Intent to return to the degree program after the completion of the internship/co-op
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, or similar
  • Experience working and communicating cross functionally in a team environment
  • Publications or experience in machine learning, AI, computer vision, optimization, computer science, statistics, applied mathematics, or data science
  • Experience solving analytical problems using quantitative approaches
  • Experience setting up ML experiments and analyzing their results
  • Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
  • Experience in utilizing theoretical and empirical research to solve problems
  • Experience with explainable AI methods and topics around LLM safety alignment
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$7,650/month to $12,134/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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