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Ai Automation Intern Jobs in Raleigh, NC (NOW HIRING)

I2M Llc.

Business Development Intern

Raleigh, NC · On-site

$15 - $17/hr

... AI tools to improve the sales process Desired Qualifications * Pursuing a bachelor's degree in ... Interest in water, wastewater, environmental technology, IoT, SaaS, or industrial automation ...

I2M Llc.

Business Development Intern

Raleigh, NC · On-site

$15 - $17/hr

... AI tools to improve the sales process Desired Qualifications * Pursuing a bachelor's degree in ... Interest in water, wastewater, environmental technology, IoT, SaaS, or industrial automation ...

ARM

Intern Program - Engineering Pathways

Raleigh, NC · Hybrid

$16.25 - $21.25/hr

Our intern program would suit candidates with interest across engineering -- from the hardware ... agentic AI. Software & Tools -- Build software, automation and engineering tools using C/C ...

Analogdevices

Mixed Signal Engineer Intern

Durham, NC · On-site

$22 - $41/hr

ADI combines analog, digital, AI, and software technologies into solutions that combat climate ... Collaborate with design engineers to identify challenges and propose automation strategies.

IBM

Product Manager Intern 2027

Durham, NC · On-site

Building the world's leading AI-powered, cloud-native products that shape the future of business ... on, application modernization, security, and sustainability. Critical to this is the ability to ...

IBM

Product Manager Intern 2027

Durham, NC · On-site

Building the world's leading AI-powered, cloud-native products that shape the future of business ... on, application modernization, security, and sustainability. Critical to this is the ability to ...

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All JobsAi Automation Intern JobsAi Automation Intern Jobs in Raleigh, NC

Ai Automation Intern information

See Raleigh, NC salary details

$9

$18

$33

How much do ai automation intern jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for ai automation intern in Raleigh, NC is $18.32, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $18.94 per hour, depending on experience, location, and employer.

What does an AI Automation Intern do?

An AI Automation Intern assists in developing, testing, and implementing artificial intelligence solutions to automate business tasks and processes. This role often involves working with machine learning models, data analysis, and scripting to improve efficiency and accuracy. Interns typically collaborate with engineers and data scientists to support real-world projects, gaining hands-on experience with cutting-edge AI technologies. The position is ideal for students or recent graduates interested in exploring the practical applications of AI in industry.

What skills and qualifications are needed to thrive as an AI Automation Intern?

To thrive as an AI Automation Intern, you need a solid understanding of programming (especially Python), basic machine learning concepts, and preferably ongoing study in computer science or a related field. Familiarity with automation tools like Selenium, cloud platforms (such as AWS or Azure), and version control systems like Git is typically expected. Strong problem-solving, analytical thinking, and effective communication set standout interns apart in collaborative environments. These skills and qualities are crucial for successfully contributing to automation projects, learning quickly, and adapting to rapidly evolving AI technologies.

What types of projects do AI Automation Interns typically work on?

AI Automation Interns often work on projects involving the development and testing of automated workflows, data processing scripts, or machine learning model prototypes. These projects may include tasks like building data pipelines, automating repetitive manual processes, or supporting the integration of AI tools into existing systems. By contributing to these initiatives, interns help improve efficiency and scalability for the team, while gaining hands-on experience with industry-standard tools and practices. Collaboration with data scientists, engineers, and business analysts is common, providing valuable exposure to cross-functional teamwork.

What is the difference between Ai Automation Intern vs Data Analyst Intern?

AspectAi Automation InternData Analyst Intern
Required CredentialsBasic programming, understanding of AI/ML conceptsStatistics, data analysis, Excel, SQL
Work EnvironmentTech companies, AI startups, R&D labsBusiness, finance, marketing departments
Employer & Industry UsageAI-focused projects, automation tasksData interpretation, reporting, insights

Ai Automation Interns focus on developing and implementing AI-driven automation solutions, often requiring programming and AI knowledge. Data Analyst Interns analyze data to generate insights, primarily using statistical tools. While both roles involve data and technical skills, Ai Automation Interns are more involved in AI development, whereas Data Analyst Interns focus on data interpretation and reporting.

What are the most commonly searched types of Ai Automation jobs in Raleigh, NC?

The most popular types of Ai Automation jobs in Raleigh, NC are:

What are popular job titles related to Ai Automation Intern jobs in Raleigh, NC?

For Ai Automation Intern jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Ai Automation Intern jobs in Raleigh, NC look for?

The top searched job categories for Ai Automation Intern jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Ai Automation Intern jobs?

Cities near Raleigh, NC with the most Ai Automation Intern job openings:

Ai Automation Intern jobs near you
Infographic showing various Ai Automation Intern job openings in Raleigh, NC as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% Remote job distribution, with an average salary of $38,099 per year, or $18.3 per hour.

Digital Marketing & AI Enablement Intern

G and S Business Communications

Raleigh, NC • On-site

$20/hr

Part-time, Internship

Posted 28 days ago

Job description

The Digital Marketing & AI Enablement Intern supports the development and execution of digital marketing programs and AI-powered solutions for clients and internal teams. This role combines traditional digital marketing responsibilities with emerging technology initiatives, including content development, social media management, analytics, AI agent support, workflow automation, and process documentation. The intern will gain practical experience working across marketing, technology, and operations while helping deliver innovative solutions that improve client outcomes, operational efficiency, and business performance. This is a fall, part-time opportunity.
Responsibilities:
Other responsibilities may be assigned.
  • Support digital marketing campaigns across web, email, social media, and other content channels under team guidance.
  • Draft, schedule, and publish approved social content using tools like Monday.com, HubSpot, Hootsuite, Mailchimp, Pardot, Marketing Cloud, Emplify or Sprout.
  • Assist with website content updates, page edits, UTM creation, QR code generation, image uploads, and basic formatting in CMS platforms.
  • QA web pages for broken links, typos, mobile responsiveness, accessibility basics, and brand consistency.
  • Monitor social channels for trends, engagement opportunities, and audience questions; escalate responses when needed.
  • Assist with email list maintenance, basic segmentation, campaign setup, and QA testing.
  • Pull basic performance metrics and help prepare campaign reports.
  • Research digital trends, competitor activity, hashtags, keywords, and content ideas.
  • Help organize assets, documentation, and content inventories.
  • Pull basic performance metrics and help prepare campaign reports from tools like Google Analytics, HubSpot, or similar platforms.
  • Collaborate with developers, designers, and digital team members to meet deadlines and support client deliverables.
  • Assists in the design, configuration, testing, and optimization of AI agents by supporting workflow development, prompt creation, data organization, and performance evaluation to help deliver effective AI-powered solutions.
  • Help document agent logic, automation flows, and operational procedures.
  • Research emerging AI tools, models, and automation capabilities.
  • Work with operational and client teams to identify AI enablement and automation opportunities.

Skills/Qualifications:
  • Current student or recent graduate pursuing computer science, information systems, marketing, communications, advertising, digital media, or a related field.
  • Foundational understanding of digital marketing, social media, email marketing, and content creation.
  • Foundational understanding of AI concepts, including large language models (LLMs), prompt engineering, automation workflows, and agent-based systems.
  • Familiarity with AI development or automation tools such as OpenAI, Microsoft Copilot, Zapier, Make, Power Automate, or similar low-code/no-code platforms.
  • Understanding of workflow logic, API integrations, or system-to-system communication concepts.
  • Familiarity with LinkedIn, Instagram, Facebook, X/Twitter, YouTube, and emerging social platforms.
  • Basic familiarity with HTML, CSS, CMS platforms, Java, and website structure.
  • Interest in UX, accessibility, GEO/SEO, analytics, and digital content best practices.
  • Comfortable learning web tools, plugins, marketing and analytics platforms, and project management systems.
  • Strong writing, editing, organization, and communication skills.
  • Detail-oriented, curious, collaborative, and able to manage assigned tasks in a hybrid work environment.
  • Ability to collaborate effectively with technical and non-technical team members.
  • Basic understanding of cybersecurity principles, access control, and data protection best practices.
  • Strong analytical and problem-solving skills with the ability to think logically through technical challenges.
  • Ability to document technical processes clearly and accurately.
  • Interest in AI enablement within business environments, including internal operations and client-facing applications, and eagerness to experiment responsibly with emerging AI and automation technologies.

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