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Internship Ai Data Labeling Jobs in Raleigh, NC (NOW HIRING)

We're an AI-forward company. If you're excited about building real products for real communities at ... Data analysis and synthesis to support roadmap decisions * Where relevant, contribute to 0-to-1 ...

We're an AI-forward company. If you're excited about building real products for real communities at ... Data analysis and synthesis to support roadmap decisions * Where relevant, contribute to 0-to-1 ...

We're an AI-forward company. If you're excited about building real products for real communities at ... Data analysis and synthesis to support roadmap decisions * Where relevant, contribute to 0-to-1 ...

We're an AI-forward company. If you're excited about building real products for real communities at ... Data analysis and synthesis to support roadmap decisions * Where relevant, contribute to 0-to-1 ...

Laboratory MedTech Lead

Durham, NC · On-site

$18.25 - $24.50/hr

... generate critical data used in the diagnosis, treatment, and monitoring of diseases. Ensures ... specimen labeling, and collection verification protocols. • Guide proper collection and ...

Showing results 41-60

Internship Ai Data Labeling information

See Raleigh, NC salary details

$11

$21

$40

How much do internship ai data labeling jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for internship ai data labeling in Raleigh, NC is $21.88, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $23.85 per hour, depending on experience, location, and employer.

What is the difference between Internship Ai Data Labeling vs Data Annotation Specialist?

AspectInternship Ai Data LabelingData Annotation Specialist
Required CredentialsHigh school diploma or equivalent; some technical skillsHigh school diploma or higher; technical skills often preferred
Work EnvironmentEntry-level, training-focused, often remote or in-officeProfessional setting, may be remote or on-site, more independent
Employer & Industry UsageTech companies, AI startups, research projectsAI companies, data service providers, tech firms
Search & Comparison IntentUnderstanding entry-level roles in AI data labelingClarifying professional data annotation roles

Internship Ai Data Labeling typically refers to entry-level, training-focused positions aimed at gaining experience in labeling data for AI models. Data Annotation Specialist is a more experienced, professional role involving detailed data labeling tasks. Both roles are essential in AI development, but internships are designed for beginners, while specialists have more responsibility and expertise.

What is an AI data labeling internship?

An AI Data Labeling Internship is a temporary position where interns assist in preparing datasets for machine learning models by accurately annotating, categorizing, or tagging data such as images, text, or audio. Interns learn about the fundamentals of artificial intelligence and the importance of high-quality labeled data in training algorithms. This role is ideal for students or recent graduates interested in AI, data science, or related fields, and provides hands-on experience with data preparation and quality assurance processes.

What are some common challenges faced during an AI data labeling internship, and how can I overcome them?

As an AI Data Labeling intern, you may encounter challenges such as maintaining high accuracy while labeling large volumes of data, understanding complex labeling guidelines, and managing repetitive tasks without losing focus. To overcome these, it's helpful to regularly review the instructions, seek feedback from your team lead, and use productivity techniques to stay engaged. Collaborating with other interns and attending team meetings can also provide valuable insights and help you address uncertainties quickly.

What are the key skills and qualifications needed to thrive as an AI data labeling intern?

To thrive as an AI Data Labeling Intern, you need attention to detail, basic data analysis skills, and familiarity with data annotation concepts, often supported by a background in computer science or related fields. Experience using annotation platforms, spreadsheets, and sometimes specific labeling software is common, though formal certifications are not usually required. Strong communication, time management, and the ability to follow detailed guidelines set high performers apart in this role. These skills ensure accurate, high-quality data sets that are essential for training reliable AI models.
What are the most commonly searched types of Ai Data Labeling jobs in Raleigh, NC? The most popular types of Ai Data Labeling jobs in Raleigh, NC are:
What job categories do people searching Internship Ai Data Labeling jobs in Raleigh, NC look for? The top searched job categories for Internship Ai Data Labeling jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Internship Ai Data Labeling jobs? Cities near Raleigh, NC with the most Internship Ai Data Labeling job openings:
Infographic showing various Internship Ai Data Labeling job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, and 6% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $45,502 per year, or $21.9 per hour.

Product & Strategy Intern (Summer 2027 Opportunity)

Relay

Raleigh, NC

Other

Posted 6 days ago


Job description

Relay Launchpad Intern: Product Management - Summer 2027

Relay, a dynamic and rapidly growing tech startup based in Raleigh, is on a mission to revolutionize frontline work. We've pioneered an entirely new product category: simple, rugged, smart-radio, along with a comprehensive cloud ecosystem, designed for B2B clients and frontline workers across diverse industries. Having achieved proven product-market fit by solving real-world customer pain and unlocking new capabilities, we're now expanding our Product team.

Our team is seeking driven and high-achieving undergraduate students for a paid summer 2027 Product Management Internship. The students should have an expected graduation date between December 2027 and May 2029. We view these cohorts as a vital pipeline for identifying and cultivating our future full-time Product team members.

Job Overview:

This is not a traditional internship-it's a rotational experience designed to expose interns to multiple sub-domains of product management and adjacent functions. Depending on your skills, interests, and performance, you'll rotate through and flex into areas such as:

  • Core Product Management - shaping the roadmap, guiding discovery and delivery, and bringing AI-powered products to life.
  • Revenue Strategy - analyzing markets, pricing, and GTM (go-to-market) strategy to accelerate adoption and growth.
  • Solutions Engineering - engaging directly with customers to design, validate, and demonstrate AI-driven solutions in real-world environments.

You'll get hands-on exposure to how Relay brings its mission to life-from defining frontline needs, to designing features, to aligning GTM motions, to tailoring AI solutions for enterprise customers.

Based at our Raleigh headquarters, this is a full-time internship (40 hours/week) with five days in office each week. This not a remote position. 

What you will do:

Core Responsibilities:

  • Support the Product Management Team on key initiatives and projects, contributing to the overall product strategy and roadmap.
  • Contribute to the end-to-end product lifecycle, from ideation and research through development, launch, and post-launch analysis.
  • Explore and integrate AI capabilities: Proactively identify opportunities to leverage AI/ML to enhance product features, derive deeper customer insights, and optimize product management workflows.

Product Discovery

  • Participate in customer visits and calls to observe and learn how we identify opportunities for product innovation and differentiation.
  • Consistently review analytics to identify areas of opportunity, understand user behavior, and inform product improvements.
  • Assist in documenting, analyzing, and prioritizing feedback from internal customer-facing teams.
  • Conduct solution discovery, trialing new products and features directly with customers to gather insights and validate solutions.

Product Delivery

  • Collaborate closely with Engineering and QA to design viable and usable products and ensure timely delivery of features.
  • Assist in defining product requirements and user stories for both new features and enhancements.
  • Participate in sprint planning and stand-ups, ensuring product goals are clearly communicated and understood by development teams.
  • Assist in driving product adoption and training by contributing to Release Notes and aligning with Operations and Sales teams.
What you will bring to this role:
  • Candidates from the graduating classes of December 2027 through May 2029 at Universities in Raleigh, Durham, and Chapel Hill are eligible to apply for this program.
  • Pursuing a Bachelor's degree in Business, Economics, Computer Science, or a related technical or business field with a GPA of 3.7 or above. 
  • A strong blend of business and technical acumen, with the ability to engage meaningfully and add value in discussions encompassing both technology and business strategy.
  • Curiosity about emerging technologies: A keen interest in staying abreast of cutting-edge technologies, particularly within the AI and real-time data space, and identifying how they can create new value for users.
  • A passion for entrepreneurship with the ability to thrive and react proactively to changing business needs within a dynamic, high-growth startup environment.
  • Excellent communication and interpersonal skills, with the ability to build strong relationships across teams and with customers.