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Full Time Machine Learning Data Annotation Jobs in Raleigh, NC

LexisNexis

Machine Learning Engineer Lead

Raleigh, NC

$115K - $192K/yr

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 ...

LexisNexis

Senior Machine Learning Engineer III

Raleigh, NC · Hybrid

$118K - $219K/yr

This is a full-time position based in Raleigh, NC. (Hybrid - 3 days in office) About the Role We ... You will partner with Data Scientists to turn validated models and prototypes into reliable, high ...

LexisNexis

Machine Learning Engineer Lead

Raleigh, NC

$115K - $192K/yr

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 ...

ClifyX

AI ML Data Scientist

Cary, NC · On-site

The role requires expertise in predictive modeling and big data analytics, with a focus on implementing machine learning techniques to solve various business problems in the banking and financial ...

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site

Machine Learning and AI Solutions : Lead the development and implementation of machine learning algorithms and AI solutions to solve complex business problems. Data Analysis and Modeling : Oversee ...

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site +1

Machine Learning and AI Solutions : Lead the development and implementation of machine learning algorithms and AI solutions to solve complex business problems. Data Analysis and Modeling : Oversee ...

RELX

Principal Machine Learning Engineer I

Raleigh, NC

$136K - $252K/yr

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

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site +1

Machine Learning and AI Solutions : Lead the development and implementation of machine learning algorithms and AI solutions to solve complex business problems. Data Analysis and Modeling : Oversee ...

McGough Construction

Manager, Data Science

Raleigh, NC · On-site

MANAGER, DATA SCIENCE The Manager of Data Science will build and lead a focused, high-impact team ... Experience applying machine learning in real-world business settings Skills: * Strong problem ...

RELX

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

We are seeking a Lead Data Scientist to leads a team of junior members to support their development ... The ideal candidate will have a deep understanding of machine learning algorithms, experience ...

RELX Group plc

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

We are seeking a Lead Data Scientist toleads a team of junior members to support their development ... The ideal candidate will have a deep understanding of machine learning algorithms, experience ...

LexisNexis

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

We are seeking a Lead Data Scientist toleads a team of junior members to support their development ... The ideal candidate will have a deep understanding of machine learning algorithms, experience ...

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All JobsMachine Learning Data Annotation JobsFull Time Machine Learning Data Annotation JobsFull Time Machine Learning Data Annotation Jobs in Raleigh, NC

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 Jul 23, 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 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 are Full Time Machine Learning Data Annotation jobs?

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 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:
Full Time Machine Learning Data Annotation jobs near you
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.
Machine Learning Engineer Lead

Machine Learning Engineer Lead

LexisNexis

Raleigh, NC

$115K - $192K/yr

Full-time

Posted 10 days ago

LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

165th of 454 rated business services

Job description

About our Team

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).

About the Role

Do you love collaborating with teams to solve complex technical problems?

We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML systems and agentic architectures that support next-generation legal research and analytics products. This role combines deep ML expertise with distributed systems engineering and AI platform development.

In this role you will be a hands-on engineer and leader that will lead a high-performing team of 4-5 ML engineers, drive platform-level decisions, and ensure enterprise-grade scalability, reliability, and responsible AI compliance.

Responsibilities:

  • Lead, mentor, and grow a team of 4-5 ML engineers.

  • Provide architectural direction and code-level guidance.

  • Establish engineering best practices for ML system design, testing, and deployment.

  • Conduct design reviews, performance reviews, and technical roadmap planning.

  • Architect distributed ML systems serving multiple global products.

  • Standardize infrastructure patterns for LLM serving and retrieval systems.

  • Define and implement enterprise-ready agentic frameworks.

  • Architect multi-step reasoning systems.

  • Lead decisions on deterministic workflows vs. autonomous agents.

  • Implement guardrails, safety layers, and traceability mechanisms.

  • Develop evaluation frameworks to measure reasoning quality, hallucination rates, and reliability.

  • Establish CI/CD standards for ML lifecycle management.

  • Ensure compliance with enterprise data governance and responsible AI standards.

Requirements

  • 8-10 years of Machine Learning/Software Engineer experience

  • 2-3 years of people management experience.

  • Master's degree or bachelor's degree, computer science degree is highly desirable.

  • Strong software engineering background with experience in building system design, architecting AI feature/products that caters large number of users and deals with large volume of unstructured data

  • Experience with ML deployment to production

U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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