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Internship Ai Data Annotation Jobs in Raleigh, NC

Labelbox is the leading data-centric AI platform for building intelligent applications. Teams ... Please note that this is not an internship opportunity. - Candidates must be authorized to work in ...

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 ...

Our platform connects people, systems, data and AI to help organizations deliver more personalized ... Internship or early experience in sales, customer service, or lead generation, ideally in a ...

Our platform connects people, systems, data and AI to help organizations deliver more personalized ... Internship or early experience in sales, customer service, or lead generation, ideally in a ...

Showing results 41-60

Internship Ai Data Annotation information

See Raleigh, NC salary details

$11

$21

$40

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

As of Aug 7, 2026, the average hourly pay for internship ai data annotation 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 are the typical challenges faced during an AI data annotation internship, and how can I overcome them?

As an AI Data Annotation intern, you may encounter challenges such as maintaining high accuracy while labeling large volumes of data, understanding complex annotation guidelines, and adapting to evolving project requirements. It's important to regularly communicate with your team lead or project manager to clarify any uncertainties and ensure consistency in your annotations. Leveraging available training materials and asking for feedback will help you improve your efficiency and accuracy, turning these challenges into valuable learning experiences.

What is an AI data annotation internship?

An AI Data Annotation Internship is a temporary position where interns help label, tag, or categorize data (such as images, text, or audio) to train and improve artificial intelligence models. Interns typically work with datasets, ensuring that the information provided is accurate and consistent, which is crucial for machine learning algorithms to learn effectively. The role is a valuable entry point for those interested in AI, machine learning, or data science, as it offers hands-on experience with the foundational work needed to build intelligent systems.

What is the difference between Internship Ai Data Annotation vs Data Labeler?

AspectInternship Ai Data AnnotationData Labeler
CredentialsHigh school diploma or equivalent; some roles prefer basic technical skillsHigh school diploma or equivalent; minimal formal education required
Work EnvironmentOffice or remote; supervised tasks, often part-time or temporaryOffice or remote; repetitive tasks, often entry-level
Industry UsageTech companies, AI startups, research projectsTech firms, data companies, AI development teams
Search & Comparison IntentUnderstanding entry-level roles in AI data annotationComparing entry-level data labeling jobs in AI

Internship Ai Data Annotation roles typically involve supervised, short-term tasks aimed at gaining experience in AI data preparation. Data Labeler positions are similar entry-level roles focused on labeling data for machine learning. Both roles require basic skills and are used across tech and AI industries, but internships often offer more training and learning opportunities.

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

To thrive as an Internship AI Data Annotation specialist, you need attention to detail, basic computer literacy, and a foundational understanding of data labeling concepts, often supported by ongoing training or coursework in data science or computer science. Familiarity with annotation tools like Labelbox, Supervisely, or VIA, and knowledge of data management platforms are commonly required. Strong organizational skills, patience, and effective communication help you manage repetitive tasks and collaborate with team members. These skills are essential to ensure high-quality data labeling, which directly impacts the performance and accuracy of AI models.
What are the most commonly searched types of Ai Data Annotation jobs in Raleigh, NC? The most popular types of Ai Data Annotation jobs in Raleigh, NC are:
What are popular job titles related to Internship Ai Data Annotation jobs in Raleigh, NC? For Internship Ai Data Annotation jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Internship Ai Data Annotation jobs in Raleigh, NC look for? The top searched job categories for Internship Ai Data Annotation jobs in Raleigh, NC are:
Infographic showing various Internship Ai Data Annotation 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.

Full-time

Re-posted 6 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 271 frontline employees who took The Breakroom Quiz

15th of 150 rated financial services


Job description

Job Description:

Fidelity LEAP Program

Note: Fidelity will not provide immigration sponsorship for this position

Launch your tech career by building real solutions that impact millions.

Ready to go beyond the classroom? Build technology that powers financial outcomes for millions of customers - supporting individuals, employers, and institutions across a global, diversified business with trillions in assets. Join Fidelity's LEAP Program and start your career alongside thousands of technologists shaping the future of financial services.

About the LEAP Program

Our 10-week immersive program is designed to help you transition from college to a full-time technology career.

You'll gain hands-on experience, build production-ready skills, and grow alongside a cohort of peers, all while solving real, complex business challenges.

What you'll gain:

  • Real-world technology experience from day one
  • Mentorship from experienced engineers and leaders
  • A strong peer network that lasts beyond the program
  • A clear path to continued growth at Fidelity

Program Highlights

Learn by Building
Work on real projects in a supportive environment where you can experiment, learn, and make an impact.

AI-Native Development
Use AI tools as part of your daily workflow, learning how to apply them responsibly to modern engineering challenges.

Cohort Experience
Join a group of peers in an in-person, team-based setting with built-in support, coaching, and collaboration.

Career Acceleration
This isn't just a program, it's the start of your career. Continue growing with meaningful work, mentorship, and long-term opportunities at Fidelity.

The Role

We're looking for curious, driven systems analysts who want to understand how technology and business come together to solve problems and deliver value for customers.

In this role, you will:

  • Support analysis activities by participating in stakeholder discussions, capturing requirements, and helping clarify ambiguities with guidance from senior analysts and team members
  • Work on real projects from start to finish, gaining exposure to the full delivery lifecycle including requirements, architecture, design, testing, and implementation
  • Create and maintain documentation such as user stories, functional specifications, acceptance criteria, and process/data flow diagrams using standard tools and templates, while describing basic concepts and major activities associated with requirements analysis
  • Develop an understanding of business context, system workflows, data flows, and upstream/downstream dependencies across the technology landscape
  • Support basic data analysis activities, including running queries, validating test data, and investigating simple data or system issues. while identifying gaps between current systems and future business needs.
  • Assist with testing efforts by creating test cases, executing tests, analyzing results, and logging defects
  • Explore emerging tools and technologies, including AI, and learn how to apply them responsibly to improve analysis and delivery outcomes
  • Contribute as part of a team focused on delivering solutions that help customers achieve their long-term financial goals

Skills You Bring

  • Pursuing or recently completed a bachelor's degree in Business, MIS, Information Systems, Computer Science, or a related field
  • Familiarity with requirements gathering, documentation, or systems analysis concepts (academic or internship experience)
  • Foundational awareness of data concepts (e.g., data flows, data validation, or querying)
  • Strong analytical thinking and problem-solving skills
  • Ability to break down problems and ask thoughtful, clarifying questions
  • Familiarity with diagramming tools such as Visio or Drawio
  • Hands-on project or internship experience (preferred)
  • Strong written and verbal communication skills
  • Ability to collaborate and thrive in a fast-paced, team environment
  • Curiosity, attention to detail, and a passion for continuous learning

Why Fidelity?

  • Work on systems and products used by millions
  • Access to diverse tech stack and AI tools
  • Structured career development and mobility
  • Strong mentorship culture
  • Competitive benefits and stability

If you're excited to learn how technology enables business outcomes and want to build a strong foundation in systems analysis, Fidelity is a great fit for you. We hire for fundamentals, learning agility and problem-solving, and are committed to help you grow. Apply today!

Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

Certifications:Category:Information Technology

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.


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