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National Geographic Learning Jobs in Raleigh, NC

RELX

Machine Learning Engineer Lead

Raleigh, NC

$115K - $192K/yr

We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML ... S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some ...

RELX Group plc

Machine Learning Engineer Lead

Raleigh, NC · On-site

$115K - $192K/yr

We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML ... S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some ...

LexisNexis

Machine Learning Engineer Lead

Raleigh, NC · On-site

$115K - $192K/yr

We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML ... S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some ...

LexisNexis

Machine Learning Engineer Lead

Raleigh, NC

$115K - $192K/yr

We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML ... S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some ...

RELX

Principal Machine Learning Engineer I

Raleigh, NC

$136K - $252K/yr

We are seeking a Principal Machine Learning Engineer to design, build, and operate scalable AI/ML ... S. National Base Pay Range: $136,100 - $252,800. Geographic differentials may apply in some ...

Varsity Tutors

AP Human Geography Tutor

Chapel Hill, NC · Remote

$18 - $40/hr

... Learning Platform has thousands of students looking for online AP Human Geography tutors nationally ... Deep knowledge of geographic thinking and spatial concepts, population and migration patterns ...

Varsity Tutors

AP Human Geography Tutor

Raleigh, NC · Remote

$18 - $40/hr

... Learning Platform has thousands of students looking for online AP Human Geography tutors nationally ... Deep knowledge of geographic thinking and spatial concepts, population and migration patterns ...

Varsity Tutors

AP Human Geography Tutor

Durham, NC · Remote

$18 - $40/hr

... Learning Platform has thousands of students looking for online AP Human Geography tutors nationally ... Deep knowledge of geographic thinking and spatial concepts, population and migration patterns ...

Varsity Tutors

High School Geography Tutor

Raleigh, NC · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Emphasizes developing geographic literacy and critical spatial thinking, connecting geography to ...

Varsity Tutors

High School Geography Tutor

Durham, NC · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Emphasizes developing geographic literacy and critical spatial thinking, connecting geography to ...

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All JobsNational Geographic Learning JobsNational Geographic Learning Jobs in Raleigh, NC

National Geographic Learning information

See Raleigh, NC salary details

$20.8K

$74.6K

$159K

How much do national geographic learning jobs pay per year?

As of Jun 24, 2026, the average yearly pay for national geographic learning in Raleigh, NC is $74,630.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,462.00 and $92,791.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Educational Content Developer at National Geographic Learning, and why are they important?

To excel as an Educational Content Developer at National Geographic Learning, you need a background in education, curriculum design, and subject matter expertise, often supported by a relevant degree. Familiarity with instructional design software, learning management systems (LMS), and digital media tools is typically required. Strong communication, creativity, and collaboration skills help you produce engaging educational materials and work effectively with cross-functional teams. These abilities are crucial for creating impactful content that enhances student learning and aligns with educational standards.

What are some common challenges faced by content developers at National Geographic Learning, and how can new hires effectively overcome them?

Content developers at National Geographic Learning often face the challenge of balancing engaging, visually-rich educational materials with strict curriculum standards and deadlines. New hires can overcome these hurdles by closely collaborating with subject matter experts, designers, and editors to ensure accuracy and creativity align. Embracing feedback and being adaptable in the fast-paced publishing environment are essential. Regularly communicating with team members and staying updated on educational trends also helps ensure high-quality, impactful learning materials.

What is National Geographic Learning?

National Geographic Learning is an educational publishing company that creates learning materials for students and teachers worldwide. They are known for integrating stunning visuals, real-world content, and storytelling from National Geographic explorers into textbooks and digital resources. Their products focus on English language learning, science, social studies, and other subjects, aiming to inspire curiosity and global awareness. National Geographic Learning collaborates closely with educators to provide resources that engage students and foster lifelong learning.

What is the difference between National Geographic Learning vs ESL Teacher?

AspectNational Geographic LearningESL Teacher
CredentialsDegree in Education, TESOL/TEFL certificationDegree in Education, TESOL/TEFL certification
Work EnvironmentEducational publishing, curriculum development, classroom teachingClassroom teaching, language instruction, online or in-person
Industry UsageEducational publishing and curriculum providersLanguage schools, international schools, online platforms
Search & ComparisonOften compared in terms of curriculum resources and teaching rolesCompared for teaching methods and certification requirements

National Geographic Learning and ESL Teacher roles overlap in education credentials and work environments. While National Geographic Learning focuses on curriculum development and educational publishing, ESL Teachers primarily deliver language instruction. Both roles require similar certifications and are found in educational settings, but their core functions differ—one creates resources, the other teaches students directly.

What job categories do people searching National Geographic Learning jobs in Raleigh, NC look for? The top searched job categories for National Geographic Learning jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for National Geographic Learning jobs? Cities near Raleigh, NC with the most National Geographic Learning job openings:
National Geographic Learning jobs near you
Infographic showing various National Geographic Learning job openings in Raleigh, NC as of June 2026, with employment types broken down into 94% Full Time, 4% Part Time, 1% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $74,630 per year, or $35.9 per hour.
Machine Learning Engineer Lead

Machine Learning Engineer Lead

RELX

Raleigh, NC

$115K - $192K/yr

Full-time

Posted 12 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 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.

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