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Internship Data Annotation Analyst Jobs in Raleigh, NC

Labcorp

Associate Data Scientist

Durham, NC · On-site

$57K - $57K/yr

... internship, or professional) applying statistical modeling, hypothesis testing, or predictive analytics Preferred Qualifications: * Master's degree in Data Science, Computer Science, Statistics ...

varonis

Commission Analyst

Morrisville, NC · On-site

... growing, data-driven environment. The role is ideal for early-career analysts or outstanding graduates with relevant internship experience looking to grow in a high-impact position. The ...

Varonis

Commission Analyst

Morrisville, NC · Hybrid

... growing, data-driven environment. The role is ideal for early-career analysts or outstanding graduates with relevant internship experience looking to grow in a high-impact position. The ...

Fidelity Investments

Leap Systems Analyst

Durham, NC · On-site

Familiarity with requirements gathering, documentation, or systems analysis concepts (academic or internship experience) * Foundational awareness of data concepts (e.g., data flows, data validation ...

NCSU

Temporary IT Analyst / Programmer II

Raleigh, NC · On-site

$30 - $39/hr

This role involves managing multiple interns who will contribute to software development along ... well as data infrastructure efforts being developed in partnership with NC Ag Analytics. The ...

Align Technology

Analyst II

Raleigh, NC · On-site

Ensure data accuracy and reliability by working with various data sources and validating reports ... S. Our internship hourly rates are a standard pay determined based on the position and your ...

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Internship Data Annotation Analyst information

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

As of Jul 6, 2026, the average hourly pay for internship data annotation analyst 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.

How hard is it to get hired by data annotation?

Getting hired as a data annotation analyst generally requires attention to detail, basic computer skills, and familiarity with annotation tools or platforms. Many positions are entry-level and may not require extensive experience, making the role accessible to beginners, though some jobs may prefer knowledge of specific data types or industry standards.

What is a data annotation internship?

A data annotation internship is a temporary position where interns assist in labeling and categorizing data, such as images, text, or videos, to help train machine learning models. Interns typically use annotation tools and develop skills in data quality and accuracy under supervision. This role provides practical experience in data preparation and AI development processes.

What does a data annotation analyst do?

A data annotation analyst is responsible for labeling and categorizing data, such as images, text, or videos, to prepare it for machine learning models. They use tools and follow guidelines to ensure data accuracy and consistency, which is essential for training effective AI systems.

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

AspectInternship Data Annotation AnalystData Labeling Specialist
CredentialsTypically pursuing or recent graduate in related fieldRelevant certifications or experience preferred
Work EnvironmentInternship setting, often in tech or AI companiesFull-time or freelance roles in data annotation companies
Industry UsageCommon in AI, machine learning, and tech industriesUsed across AI, autonomous vehicles, and healthcare sectors

The Internship Data Annotation Analyst is usually an entry-level role for students or recent graduates gaining experience in data annotation. In contrast, Data Labeling Specialists are more experienced professionals focused on accurately labeling data for AI models. Both roles are essential in AI development, but the internship provides learning opportunities, while the specialist role involves more independent work and expertise.

Does data annotation actually pay?

Data annotation analysts are typically paid for their work, with compensation varying based on the project, platform, or employer. Many companies offer hourly rates or per-task payments, and some roles may require specific skills or tools. Payment is generally reliable for those working in paid annotation jobs, especially with established platforms or companies.
What are the most commonly searched types of Data Annotation Analyst jobs in Raleigh, NC? The most popular types of Data Annotation Analyst jobs in Raleigh, NC are:
Internship Data Annotation Analyst jobs near you
Associate Data Scientist

Associate Data Scientist

Labcorp

Durham, NC • On-site

$57K - $57K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Labcorp rating

6.6

Company rating: 6.6 out of 10

Based on 1,109 frontline employees who took The Breakroom Quiz

78th of 103 rated laboratories

Job description

Labcorp is a leader in diagnostics, drug development and healthcare innovation. Across every role, we harness data and AI to work smarter, move faster and create breakthrough solutions that improve health outcomes for people. With our global scale and deep expertise, you'll do meaningful work, grow your career and make a real impact. Together, we're improving health and improving lives.
Labcorp is recruiting an Associate Data Scientist.
About the Role
At Labcorp, we believe data is the key to advancing healthcare and improving patient outcomes worldwide. As an Associate Data Scientist, you will join a collaborative team dedicated to solving complex problems using advanced analytics, machine learning, and data-driven insights. This is an exciting opportunity for an early-career data scientist who is eager to learn, grow, and make an immediate impact on real-world healthcare challenges.
Work Schedule: This is a full-time, exempt (salaried) position assigned to a First Shift schedule, with standard business hours from Monday through Friday, 8:00 a.m. to 5:00 p.m. in your local time zone. Business needs may occasionally require flexibility in work hours, including earlier, later, or additional hours, with reasonable notice provided when possible.
Applicants who live within 35 miles of the Durham or Burlington, NC locations will follow a hybrid schedule. This schedule includes a minimum of three in-office days per week at an assigned location, either Durham or Burlington, supporting both collaboration and flexibility.
Job Responsibilities:
  • Collect, clean, and analyze large and complex healthcare and operational datasets.
  • Build, test, and deploy statistical and machine learning models to support business and scientific initiatives.
  • Work closely with cross-functional teams - including IT, clinical, operations, and business leaders - to translate data into actionable insights.
  • Support the development of data pipelines and workflows that ensure scalable and reproducible analytics.
  • Contribute to data visualization and reporting dashboards for internal and external stakeholders.
  • Document methodologies, analyses, and model results to ensure transparency and reproducibility.
  • Stay current with new tools, technologies, and best practices in data science and healthcare analytics.

Minimum Qualifications:
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Bioinformatics, Information Systems or Information Technology.
  • 6 months or more experience (academic, internship, or professional) programming in Python, R, or SQL
  • 6 months or more experience (academic, internship, or professional) applying machine learning frameworks and libraries such as scikit-learn, TensorFlow, or PyTorch
  • 6 months or more experience (academic, internship, or professional) building data visualizations using tools such as Tableau, Power BI, matplotlib, or seaborn
  • 6 months or more experience (academic, internship, or professional) applying statistical modeling, hypothesis testing, or predictive analytics

Preferred Qualifications:
  • Master's degree in Data Science, Computer Science, Statistics, Mathematics, Bioinformatics, Information Systems or Information Technology.
  • 12 months or more combined experience across two or more of the following: Python, R, or SQL
  • 3 months or more experience working with healthcare, laboratory, or clinical trial data
  • 3 months or more experience working with a cloud platform such as AWS, Azure, or GCP
  • 3 months or more prior experience at Labcorp

Additional Job Standards:
  • Strong problem-solving skills and intellectual curiosity
  • Desire and willingness to learn new tools and techniques
  • Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders

Why Join Us
At Labcorp, you'll be part of a global team that is transforming healthcare through innovation and science. As an Associate Data Scientist, you'll gain hands-on experience, mentorship, and the opportunity to contribute to impactful projects that improve lives around the world.
Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan. Employees who are regularly scheduled to work a 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO. For more detailed information, please click here.
Labcorp is proud to be an Equal Opportunity Employer:
Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.
We encourage all to apply
If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.

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