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Internship E Learning Developer Jobs in Provo, UT

Waystar

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

ABOUT THIS POSITION Summary We are seeking a highly skilled and innovative Machine Learning ... Design and execute efficient fine-tuning strategies (e.g., LoRA, QLoRA, full fine-tuning) on ...

Crew Career Center

Senior ML Engineer

Lehi, UT

$98K - $134K/yr

ABOUT THIS POSITION Summary We are seeking a highly skilled and innovative Machine Learning ... Design and execute efficient fine-tuning strategies (e.g., LoRA, QLoRA, full fine-tuning) on ...

Epicor

Senior Product Developer

Lehi, UT · Hybrid

$51.25 - $67.50/hr

Knowledge of ORMs (e.g., Sequelize), state management tools (e.g., MobX, Redux, Zustand), and ... Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your ...

Pattern

Senior Ecommerce Sales Engineer

Lehi, UT

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... As a Sales Engineer, you will act as the ecommerce expert between lead generation representatives ...

Patientco

Customer Success Platform Trainer

Lehi, UT · On-site

Prepares lesson plans from engineering documentation, field service requirements or software ... Experience with Learning Management Systems (LMS) and e-learning authoring tools (e.g., Articulate ...

Pattern

Senior Ecommerce Sales Engineer

Lehi, UT

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... As a Sales Engineer, you will act as the ecommerce expert between lead generation representatives ...

Pattern

Senior Ecommerce Sales Engineer

Lehi, UT · On-site

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... As a Sales Engineer, you will act as the ecommerce expert between lead generation representatives ...

Outsmart

Senior Learning Designer, Science

Lehi, UT · On-site

$100K - $170K/yr

You'll work closely with product managers, engineers, and fellow learning designers to build ... Familiarity with science education standards and frameworks (e.g., NGSS, scientific practices ...

CYNET SYSTEMS

Validation Engineer

Draper, UT · On-site

$42/hr

Master's Degree or equivalent and internship, senior projects or thesis in Engineering or ... Optimize moderately complex Manufacturing processes using engineering methods (e.g., SIX Sigma ...

NetDocuments

Software Test Engineer

Lehi, UT

$80K - $100K/yr

This role is ideal for someone who enjoys solving problems, learning new technologies, writing code ... Internship or professional experience in software testing or software development. * Experience ...

Compunnel, Inc.

Financial Analyst

South Jordan, UT · On-site

$21/hr

... e-Learning/Training, Business Intelligence, and Cloud Solutions. A leader in contingent and ... Our extensive experience in hiring professionals of multiple in-demand skill sets (IT, Engineering, ...

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Internship E Learning Developer information

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How much do internship e learning developer jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for internship e learning developer in Provo, UT is $21.66, according to ZipRecruiter salary data. Most workers in this role earn between $17.50 and $22.98 per hour, depending on experience, location, and employer.

What are some typical projects or tasks an Internship E-Learning Developer might work on?

As an Internship E-Learning Developer, you'll often be involved in creating interactive online learning modules, assisting with multimedia content development (such as videos or quizzes), and helping to update or maintain existing e-learning platforms. You may also collaborate with instructional designers and subject matter experts to ensure course content is engaging and effective. This role provides hands-on experience with industry-standard authoring tools and learning management systems, making it a great starting point for a career in digital education.

What is the difference between Internship E Learning Developer vs E Learning Specialist?

AspectInternship E Learning DeveloperE Learning Specialist
Required CredentialsTypically pursuing or recent graduate in education, instructional design, or related fieldBachelor's or master's in instructional design, education technology, or related field
Work EnvironmentInternship setting, often in educational or corporate training departmentsFull-time professional role in corporate, educational, or training organizations
Employer & Industry UsageUsed in educational institutions, e-learning companies, and corporate training programsCommon in corporate, higher education, and e-learning service providers

The main difference is that an Internship E Learning Developer is an entry-level, temporary position aimed at gaining experience, while an E Learning Specialist is a full-time professional responsible for designing, developing, and managing e-learning content and programs.

What does an Internship E Learning Developer do?

An Internship E Learning Developer assists in creating, designing, and maintaining online educational content and courses. They work with subject matter experts, instructional designers, and multimedia teams to build interactive learning modules, quizzes, and other digital resources. Interns often use e-learning software, such as Articulate Storyline or Adobe Captivate, and help test courses for quality and usability. This role is ideal for those interested in educational technology, instructional design, and digital content creation.

What are the key skills and qualifications needed to thrive as an Internship E Learning Developer, and why are they important?

To thrive as an Internship E Learning Developer, you need a foundational understanding of instructional design, e-learning principles, and proficiency in digital content creation, often supported by coursework in education or related fields. Familiarity with e-learning authoring tools like Articulate Storyline, Adobe Captivate, and Learning Management Systems (LMS) is typically required. Strong communication, creativity, and attention to detail set candidates apart in developing engaging and effective learning experiences. These skills and qualities are essential for designing interactive, learner-focused modules that meet educational objectives and organizational needs.
What are the most commonly searched types of E Learning Developer jobs in Provo, UT? The most popular types of E Learning Developer jobs in Provo, UT are:
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Internship E Learning Developer jobs near you
Senior ML Engineer

Senior ML Engineer

Waystar

Lehi, UT • On-site

$98K - $134K/yr

Full-time

Medical, Retirement, PTO

Re-posted 16 days ago

Job description

ABOUT THIS POSITION
Job Description Summary
We are seeking a highly skilled and innovative Machine Learning Engineer with a passion for building robust, efficient, and domain-specific AI systems using Language Models (LMs) and agentic architectures. As a core member of the team, you will be instrumental in developing the entire ML pipeline, from sophisticated data extraction techniques to fine-tuning specialized LMs and orchestrating their interactions within a multi-agent framework.
This is a unique opportunity to apply state-of-the-art Generative AI and NLP techniques to a real-world, high-impact problem, leveraging the latest research in agentic AI and LMs to deliver economical and powerful solutions.
WHAT YOU'LL DO
    • Data Pipeline & Knowledge Base Construction:

    • Design, implement, and optimize robust pipelines for ingesting, parsing, and extracting structured information from complex documents (leveraging OCR, document layout analysis, Named Entity Recognition (NER), and Relationship Extraction (RE)).

    • Develop rich, nested JSON schemas for representing structured data and ensure scalable storage

    • Generate and manage high-quality vector embeddings for efficient retrieval-augmented generation (RAG) within a Vector Database.

    • Language Model (LM) Development & Fine-tuning:

    • Research, select, and experiment with appropriate open-source Language Models (Large & Small) (e.g., Phi-3, Mistral, Llama, Nemotron-H families) for specialized tasks.

    • Design and execute efficient fine-tuning strategies (e.g., LoRA, QLoRA, full fine-tuning) on curated, domain-specific datasets to achieve precise performance for tasks like coverage determination, code lookups, and policy rule application.

    • Explore and implement knowledge distillation techniques to transfer capabilities from larger models to smaller, more efficient LMs.

    • Agentic System Design & Implementation:

    • Build and maintain the core agentic framework, including the orchestrator that intelligently routes queries and coordinates interactions between various specialized LM tools.

    • Develop and integrate "tools" (specialized LMs and external APIs) that perform atomic medical necessity tasks, ensuring strict behavioral alignment and structured outputs.

    • MLOps & Deployment:

    • Deploy, manage, and monitor LMs and agentic components on Google Cloud Platform (GCP) using services like Vertex AI, GKE, Cloud Functions, and Cloud Run.

    • Implement robust MLOps practices for continuous integration, continuous delivery (CI/CD), model versioning, and performance monitoring (latency, throughput, accuracy).

    • Continuous Improvement & Research:

    • Establish effective feedback loops from end-user interactions and system logs to identify areas for model improvement.

    • Curate and expand training datasets, ensuring data privacy (PHI/PII masking) and legal compliance.

    • Stay abreast of the latest research in LMs, agentic AI, NLP, and document understanding, applying relevant advancements to our system.

    • Collaboration:

    • Work closely with subject matter experts, product managers, and other engineers to translate complex requirements into technical solutions and evaluate system performance.

    • Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.

    • 3+ years of professional experience in Machine Learning Engineering, with a strong focus on NLP.

    • Proven experience with Language Models (LMs), including model selection, fine-tuning, and deployment.

    • Strong proficiency in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers).

    • Solid understanding and hands-on experience with core NLP techniques and architectures, especially Transformers.

    • Experience with cloud platforms, particularly Google Cloud Platform (GCP), including services like Vertex AI, Cloud Storage, and compute services.

    • Familiarity with MLOps principles and tools for model serving, monitoring, and pipeline automation.

    • Excellent problem-solving skills, attention to detail, and ability to work independently and collaboratively.

    • Active use of artificial intelligence (AI) tools and techniques to enhance performance, drive innovation, and improve decision-making across business functions.

    • Ability to leverage AI tools and platforms to streamline workflows, improve decision-making, and drive innovation.

    • Curiosity and adaptability in exploring emerging AI technologies, with a mindset for continuous learning and experimentation.

WHAT YOU'LL NEED
  • What Will Make You Stand Out (Preferred Qualifications):
    • Hands-on experience building or contributing to agentic AI systems or multi-agent frameworks.

    • Direct experience with document processing technologies such as OCR, layout parsing, Document AI, or custom information extraction from unstructured text.

    • Experience with Vector Databases (e.g., pgvector, Pinecone, Weaviate, Qdrant) and RAG architectures.

    • Exposure to the healthcare domain, particularly understanding medical terminology, CPT/ICD codes, or regulatory documents.

ABOUT WAYSTAR
Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.
Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun.
Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book™ surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar on Twitter.
WAYSTAR PERKS
  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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