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E Learning Designer Jobs in Raleigh, NC (NOW HIRING)

Black & Veatch

Senior Substation Designer 1

Cary, NC · Hybrid

$94K - $101K/yr

... while learning and focusing on your own individual development. The foundation of BV Operations ... Uses advanced applications (e g , modeling and design software) in performance of work provided

Black & Veatch

Senior Substation Designer 1 1

Cary, NC · Hybrid

$94K - $101K/yr

... while learning and focusing on your own individual development. The foundation of BV Operations ... Uses advanced applications (e g , modeling and design software) in performance of work provided

Apple

AIML - Staff Machine Learning Engineer

Cary, NC

$212K - $386K/yr

... e.g. ASR, NL, TTS, Voice Assistants, etc) Swift or Objective-C experience preferred (Rust, C++, or ... Experience designing and shipping novel systems architectures Passion for great products ...

Apple

AIML - Staff Machine Learning Engineer

Cary, NC

$212K - $386K/yr

... e.g. ASR, NL, TTS, Voice Assistants, etc) Swift or Objective-C experience preferred (Rust, C++, or ... Experience designing and shipping novel systems architectures Passion for great products ...

Air Clean Systems

HR Manager

Creedmoor, NC · On-site

Works with leadership to coordinate "on-the-job" training, and e-learning for manufacturing staff ... Designing and enforcing HR policies for the manufacturing and front office environments.

Air Clean Systems

HR Manager

Creedmoor, NC · On-site

Works with leadership to coordinate "on-the-job" training, and e-learning for manufacturing staff ... Designing and enforcing HR policies for the manufacturing and front office environments.

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All JobsE Learning Designer JobsE Learning Designer Jobs in Raleigh, NC

E Learning Designer information

See Raleigh, NC salary details

$26

$39

$67

How much do e learning designer jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for e learning designer in Raleigh, NC is $39.56, according to ZipRecruiter salary data. Most workers in this role earn between $28.75 and $51.39 per hour, depending on experience, location, and employer.

What Does an E-Learning Designer Do?

As an e-learning designer, your main duties are to determine the needs of your student population and design an effective structure for the presentation of a course. You collaborate with the instructor to choose appropriate materials for the class, determine the course goals and objectives, and build the curriculum and method of presentation. Your responsibilities also include serving as a liaison between different collaborators, such as the instructor, subject matter experts, students, administrators, and the tech department.

What are the key skills and qualifications needed to thrive in the E Learning Designer position, and why are they important?

To thrive as an E Learning Designer, you need solid instructional design expertise, experience with adult learning theory, and typically a degree in education, instructional design, or a related field. Familiarity with authoring tools such as Articulate Storyline, Adobe Captivate, and Learning Management Systems (LMS) is often required, and professional certifications like Certified Professional in Learning and Performance (CPLP) can be advantageous. Creativity, collaboration, and strong communication skills help E Learning Designers effectively translate content and work with subject matter experts. These abilities ensure engaging, effective learning experiences that meet organizational goals and learner needs.

What are common challenges faced by E Learning Designers, and how can they overcome them?

E Learning Designers often face challenges such as translating complex information into engaging, understandable digital content and keeping up with rapidly evolving technology. Balancing instructional effectiveness with aesthetics and engagement can also be demanding, especially when working with tight deadlines or limited resources. By staying current with industry trends, collaborating closely with subject matter experts, and continuously seeking feedback from learners, designers can create impactful courses that drive learning outcomes. Embracing professional development and agile project management practices can further help navigate these common hurdles.

More about E Learning Designer jobs
What are the most commonly searched types of E Learning Designer jobs in Raleigh, NC? The most popular types of E Learning Designer jobs in Raleigh, NC are:
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E Learning Designer jobs near you
Infographic showing various E Learning Designer job openings in Raleigh, NC as of June 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 5% Hybrid, and 6% Remote job distribution, with an average salary of $82,285 per year, or $39.6 per hour.
Senior Machine Learning Engineer III ***Raleigh, NC***

Senior Machine Learning Engineer III ***Raleigh, NC***

RELX Group plc

Raleigh, NC • On-site

$118K - $219K/yr

Full-time

Posted 22 days ago

Job description

Are you looking to develop your Machine Learning Engineer career?
Do you enjoy coaching others to achieve high standards?
This is a full-time position based in Raleigh, NC.
(Hybrid - 3 days in office)
About the Role
We are seeking a Consultant-level Machine Learning Engineer to lead the implementation and scaling of AI systems for legal products. This role focuses on how to build and scale-owning system architecture, infrastructure, and productionization of ML/LLM solutions.
You will partner with Data Scientists to turn validated models and prototypes into reliable, high-performance, customer-facing systems.
Key Responsibilities
  • Architect and implement scalable ML/LLM systems in production.
  • Build and deploy LLM applications, including RAG pipelines and agentic systems.
  • Implement hybrid search systems (semantic + lexical) using embeddings and search platforms.
  • Develop and maintain APIs, microservices, and model serving infrastructure.
  • Build data pipelines and streaming systems for large-scale data processing.
  • Define and develop reusable frameworks, libraries, and infrastructure for AI/ML across teams.
  • Optimize systems for latency, scalability, reliability, and cost efficiency.
  • Establish best practices for deployment, monitoring, observability, and CI/CD.
  • Collaborate with Data Scientists to productionize models and integrate into products.
  • Provide technical leadership in system design and engineering standards.

Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Strong experience implementing and scaling production ML/LLM systems.
  • Deep experience with LLM application development, including RAG and prompt orchestration.
  • Strong experience designing and implementing agentic systems using agent frameworks (e.g., LangChain, LangGraph, AutoGen, Google ADK), including orchestration of multi-step workflows in production environments.
  • Strong experience with hybrid search (semantic + lexical), embeddings, and search platforms (e.g., Solr, OpenSearch).
  • Expertise in distributed systems and cloud-native development, including AWS (S3, DynamoDB).
  • Experience with streaming and messaging systems (e.g., Kafka, SQS) and caching (e.g., Redis).
  • Proficiency in Python and experience with systems languages (e.g., Rust, Go, Scala).
  • Experience building scalable APIs (REST/GraphQL).
  • Experience with containerization and orchestration (Docker, Kubernetes).
  • Strong software engineering fundamentals (system design, testing, CI/CD).

Preferred Qualifications
  • Experience with LLM platforms (e.g., ChatGPT/OpenAI, Claude, Gemini, LangChain, Google ADK).
  • Experience with DevOps and infrastructure as code (e.g., Terraform, CloudFormation, Jenkins).
  • Experience with big data technologies (e.g., Spark, Hadoop).
  • Familiarity with graph databases (e.g., Dgraph, Neo4j, Neptune).
  • Experience building high-availability, low-latency systems.
  • Experience in legal or regulatory domains.

Key Competencies
  • Strong system architecture and scalability mindset.
  • Ownership of implementation, performance, and reliability.
  • Ability to translate data science solutions into production systems.
  • Cross-functional collaboration with DS, product, and platform teams.
  • Excellent debugging, optimization, and operational skills.
  • Clear communication of technical designs and trade-offs.

#AIFluent
U.S. National Base Pay Range: $118,300 - $219,800. 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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