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Full Time Machine Learning Data Annotation Jobs in Raleigh, NC

In this role, you will help develop software and machine learning algorithms to address real-world customer challenges, working closely with data and presenting your findings to high-level customers.

Responsibilities : • help CoVar develop software and machine learning algorithms to solve real-world customer problems • work with data, develop algorithms, evaluate results, and write the ...

Process, transform, visualize, and analyze data to guide the design and training processes of machine learning algorithms. * Collaborate with other ML and software engineers to produce software/data ...

Process, transform, visualize, and analyze data to guide the design and training processes of machine learning algorithms. * Collaborate with other ML and software engineers to produce software/data ...

Machine Learning Engineer

Raleigh, NC · On-site

$96K - $137K/yr

Process, transform, visualize, and analyze data to guide the design and training processes of machine learning algorithms. * Collaborate with other ML and software engineers to produce software/data ...

Machine Learning Engineer About CoVar CoVar is a small AI/ML R&D software company in Durham, NC ... You will work with data, develop algorithms, evaluate results, and write the production code that ...

Principal Data Scientist

Raleigh, NC · On-site +1

$147K - $243K/yr

Use machine learning, data mining, and statistical methods to distill meaningful insights from large, complex dataset. What You Will Do: * Participate in end-to-end development, from requirements ...

The company employs over 2,000 technologists, data scientists, and experts to develop, test, and ... We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML ...

The company employs over 2,000 technologists, data scientists, and experts to develop, test, and ... We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML ...

The company employs over 2,000 technologists, data scientists, and experts to develop, test, and ... We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML ...

The company employs over 2,000 technologists, data scientists, and experts to develop, test, and ... We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML ...

The company employs over 2,000 technologists, data scientists, and experts to develop, test, and ... We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML ...

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Showing results 1-20

Full Time Machine Learning Data Annotation information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do full time machine learning data annotation jobs pay per year?

As of Sep 1, 2026, the average yearly pay for full time machine learning data annotation in Raleigh, NC is $119,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,200.00 per year, depending on experience, location, and employer.

What is a full time machine learning data annotation job?

Full time machine learning data annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Data annotators play a crucial role in ensuring that AI systems learn from high-quality, accurately labeled datasets. These positions often require attention to detail, consistency, and sometimes familiarity with the subject matter or specialized tools. Full-time roles may be remote or onsite and can span industries like autonomous vehicles, healthcare, retail, and more.

What are some common challenges faced by machine learning data annotators, and how are these typically addressed within a team?

Machine learning data annotators often encounter challenges such as maintaining consistency in labeling, handling ambiguous data, and meeting tight deadlines for large datasets. Teams usually address these by establishing clear annotation guidelines, conducting regular training sessions, and implementing quality assurance processes like peer reviews and spot checks. Collaboration with data scientists and project managers is also common, ensuring that annotators can ask questions and clarify uncertainties, leading to higher-quality labeled data and a supportive work environment.

What are the key skills and qualifications needed to thrive as a full time machine learning data annotation specialist, and why are they important?

To thrive as a Full Time Machine Learning Data Annotation Specialist, you need strong attention to detail, basic data literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency in specialized annotation platforms, spreadsheet tools, and sometimes knowledge of Python or labeling frameworks is typically required. Reliability, patience, and effective communication are valuable soft skills for ensuring accuracy and collaborating with team members. These skills and qualities are crucial because they directly impact the quality of training data, which is essential for developing effective machine learning models.

What is the difference between Full Time Machine Learning Data Annotation vs Data Labeling Specialist?

AspectFull Time Machine Learning Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; some roles prefer technical certificationsHigh school diploma or equivalent; training often provided on the job
Work EnvironmentOffice or remote; collaborative with data science teamsRemote or office; focused on labeling tasks
Industry UsageUsed across AI/ML companies, tech firms, and startupsCommon in AI/ML, data services, and outsourcing companies
Job FocusCreating labeled datasets for machine learning modelsAnnotating data such as images, videos, or text for AI training

Full Time Machine Learning Data Annotation involves creating high-quality labeled datasets for AI models, often requiring technical understanding. Data Labeling Specialists focus on annotating data accurately, typically with less emphasis on technical skills. Both roles are essential in AI development but differ mainly in scope and technical complexity.

What are popular job titles related to Full Time Machine Learning Data Annotation jobs in Raleigh, NC?

For Full Time Machine Learning Data Annotation jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Full Time Machine Learning Data Annotation jobs in Raleigh, NC look for?

The top searched job categories for Full Time Machine Learning Data Annotation jobs in Raleigh, NC are:

Infographic showing various Full Time Machine Learning Data Annotation job openings in Raleigh, NC as of July 2026, with employment types broken down into 19% Full Time, 6% Part Time, 69% Contract, and 6% Nights. Highlights an 4% Physical, and 96% Remote job distribution, with an average salary of $119,312 per year, or $57.4 per hour.

Summer 2027 Intern - Machine Learning Engineering

Workiva

Durham, NC • On-site, Remote

$40/hr

Full-time

Retirement

Posted 4 days ago


Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 247 rated software companies


Job description

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management and Analytics organization. This is an excellent opportunity to gain hands-on experience in the machine learning lifecycle.

What You'll Do

  • Participate in discovery, requirements gathering, and prototyping of new tools and libraries
  • Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer
  • Help integrate tools such as LlamaIndex and LlamaParse into existing workflows
  • Assist in building and deploying AI Agents to automate data processing and analysis tasks
  • Participate in code reviews
  • Implement and update tests (unit, integration)
  • Track tasks and complete status updates using internal tools
  • Work in an Agile development methodology alongside your teammates

What You'll Need

Minimum Qualifications

  • Currently pursuing a bachelor’s degree or higher in Statistics, Mathematics, Computer Science, Physics, Electrical Engineering, or related field of study
  • Possess solid programming skills
  • Basic experience with source control systems such as Git

Preferred Qualifications

  • Work effectively within a geographically distributed team
  • Demonstrate strong communication and organizational skills
  • Familiarity with the data science lifecycle and basic machine learning concepts
  • Experience with containerization tools such as Docker and Kubernetes
  • Knowledge of cloud platforms such as AWS
  • Proficiency with Python and/or Go
  • Familiarity with REST APIs

Travel Requirements & Working Conditions

  • Minimal travel
  • Reliable internet access for any period of time working remotely, not in a Workiva office

Location: This internship is primarily a remote opportunity. However, if you are located near one of our office hubs, you are welcome to work in a hybrid capacity and utilize our office spaces. Check out our article on Workplace Flexibility to learn more.

When can you expect to hear back?

We are committed to attending all career fairs and recruitment events before closing our positions. That means, this position might be open without updates for a few weeks to give us time to connect with all potential candidates before wrapping up the recruitment season. Check out our tentative timeline below to see when you can expect to hear from us!

Postings close: September 27, 2026

Engineering postings close: October 2, 2026

Interviews: Early to mid October

Offers: Late October

2027 Start Dates:

This position has opportunities to start in the Spring or Summer. Please see our start dates below and let us know your availability in your application.

  • Spring 2027 Internships: Monday, January 4, 2027 (15-20 hours per week max)
  • Summer 2027 Internships: Monday, May 17, 2027 (40/hours per week max)

How You’ll Be Rewarded

Salary range in the US: $40.00 - $40.00 401(k) participation and match

Paid sick leave

A unique opportunity to further your learning experience through additional internship seasons

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you’ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email earlycareer@workiva.com .

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.


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