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Machine Learning Data Linguist Jobs in Raleigh, NC

RELX

Principal Machine Learning Engineer I

Raleigh, NC

$136.10K - $252.80K/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

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

Principal Machine Learning Engineer I

Raleigh, NC · On-site

$136.10K - $252.80K/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 ...

Deloitte

AI Data Engineer - Manager

Raleigh, NC · On-site

They are seeking an AI Data Engineer - Manager to lead data architecture and engineering delivery ... machine learning models and large language models. • Conduct research to provide technical ...

Apple

AIML - Staff Machine Learning Engineer

Cary, NC

$212K - $386.30K/yr

Building this system requires deep expertise in a myriad of cutting edge fields: search, natural language understanding, data engineering, machine learning, privacy preserving system design, and more.

Apple

AIML - Staff Machine Learning Engineer

Cary, NC

$212K - $386.30K/yr

Building this system requires deep expertise in a myriad of cutting edge fields: search, natural language understanding, data engineering, machine learning, privacy preserving system design, and more.

RELX

Lead Data Scientist

Raleigh, NC

$104.90K - $174.70K/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 ...

LexisNexis

Lead Data Scientist

Raleigh, NC · On-site

$104.90K - $174.70K/yr

A Lead Data Scientist leads a team of junior members to support their development and work product ... The ideal candidate will have a deep understanding of machine learning algorithms, experience ...

RELX Group plc

Lead Data Scientist

Raleigh, NC · On-site

$104.90K - $174.70K/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

$104.90K - $174.70K/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 ...

LexisNexis

Lead Data Scientist

Raleigh, NC · On-site

$104.90K - $174.70K/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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Machine Learning Data Linguist information

See Raleigh, NC salary details

$50.5K

$71.3K

$92.8K

How much do machine learning data linguist jobs pay per year?

As of May 31, 2026, the average yearly pay for machine learning data linguist in Raleigh, NC is $71,324.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $76,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Data Linguist, and why are they important?

To thrive as a Machine Learning Data Linguist, you need expertise in linguistics, data annotation, and a strong understanding of language structures, often supported by a degree in linguistics or computational linguistics. Familiarity with annotation tools, data labeling platforms, and programming languages like Python is typically required. Strong attention to detail, analytical thinking, and clear communication are essential soft skills for accurately interpreting and conveying linguistic phenomena. These skills ensure high-quality language data, which is critical for developing effective and unbiased machine learning models.

How does a Machine Learning Data Linguist typically collaborate with engineers and data scientists on projects?

A Machine Learning Data Linguist works closely with engineers and data scientists by providing linguistic insights and ensuring that language data is accurately annotated and interpreted. They often participate in cross-functional meetings to define project goals, clarify annotation guidelines, and review model outputs for linguistic quality. This collaboration helps bridge the gap between technical development and language-specific nuances, leading to more effective and culturally accurate machine learning models. Effective communication and a strong understanding of both linguistic theory and technical requirements are vital in this collaborative environment.

What is a Machine Learning Data Linguist?

A Machine Learning Data Linguist is a specialist who works at the intersection of linguistics and artificial intelligence. They are responsible for annotating, curating, and analyzing language data to train and improve machine learning models, especially those focused on natural language processing (NLP). Their work often includes tasks like labeling text, refining speech recognition data, and ensuring that language models understand context, grammar, and cultural nuances. This role is essential in developing accurate and inclusive AI systems that interact with human language.
What are popular job titles related to Machine Learning Data Linguist jobs in Raleigh, NC? For Machine Learning Data Linguist jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Machine Learning Data Linguist jobs in Raleigh, NC look for? The top searched job categories for Machine Learning Data Linguist jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Machine Learning Data Linguist jobs? Cities near Raleigh, NC with the most Machine Learning Data Linguist job openings:
Machine Learning Data Linguist jobs near you
Infographic showing various Machine Learning Data Linguist job openings in Raleigh, NC as of May 2026, with employment types broken down into 1% As Needed, 92% Full Time, 4% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $71,324 per year, or $34.3 per hour.
Principal Machine Learning Engineer I

Principal Machine Learning Engineer I

RELX Group plc

Raleigh, NC • On-site

$136.10K - $252.80K/yr

Full-time

Posted 19 days ago

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 Principal Machine Learning Engineer 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.
You will play a key role in developing enterprise-grade AI systems, including large language model (LLM) infrastructure, retrieval-augmented generation (RAG) pipelines, and autonomous agent frameworks designed for complex large unstructured data.
Responsibilities:
  • 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
  • 10 + years of Machine Learning/Software Engineer 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: $136,100 - $252,800. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
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