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E Learning Jobs in Remote, OR (NOW HIRING)

AI Agent ML Engineer

OR · Remote

$165K - $190K/yr

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning ... Familiarity with prompt engineering and vector databases (e.g., Pinecone, Weaviate). * Success ...

Experience with Azure AI Studio, Azure Machine Learning, vector databases, and prompt engineering ... E-Verify As a Federal Contractor, we are required to use to validate employees' ability to work ...

AI Engineer

OR · On-site +1

Experience with Azure AI Studio, Azure Machine Learning, vector databases, and prompt engineering ... E-Verify As a Federal Contractor, we are required to use to validate employees' ability to work ...

... e.g., Pandas, NumPy, SciPy) is required. * Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing models into operational ...

Data Scientist

OR · On-site +1

... e.g., Pandas, NumPy, SciPy) is required. * Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing models into operational ...

... e.g., Pandas, NumPy, SciPy) is required. * Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing models into operational ...

Showing results 21-40

E Learning information

See Remote, OR salary details

$8

$22

$40

How much do e learning jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for e learning in Remote, OR is $22.44, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $27.60 per hour, depending on experience, location, and employer.

What is e-learning?

E-Learning, or electronic learning, refers to the use of digital resources and technology to deliver educational content outside of a traditional classroom setting. It can include online courses, virtual classrooms, webinars, and self-paced learning modules accessed via computers, tablets, or smartphones. E-Learning offers flexibility for learners to study at their own pace and often includes interactive elements, assessments, and multimedia resources. It is widely used in schools, universities, and corporate training environments to enhance accessibility and improve learning outcomes.

What are the key skills and qualifications needed to thrive as an e-learning specialist, and why are they important?

To thrive as an E-Learning Specialist, you need expertise in instructional design, curriculum development, and adult learning theories, often backed by a degree in education or instructional technology. Familiarity with Learning Management Systems (LMS) like Moodle or Canvas, authoring tools such as Articulate Storyline or Adobe Captivate, and relevant certifications are typically required. Creativity, strong communication, and project management skills set top performers apart in this field. These skills ensure engaging, effective online learning experiences and successful project delivery in diverse educational or corporate environments.

What are the common challenges faced by e-learning professionals when developing online courses, and how can they be addressed?

E-Learning professionals often encounter challenges such as engaging diverse learners, ensuring accessibility, and keeping up with rapidly changing technology. To address these issues, it’s important to use interactive multimedia, provide clear navigation, and implement universal design principles. Collaboration with subject matter experts and regular feedback from learners can also help refine course content and delivery, resulting in a more effective and inclusive learning experience.

What is the difference between E Learning vs Instructional Designer?

AspectE LearningInstructional Designer
CredentialsTypically requires a degree in education, instructional design, or related field; certifications in e-learning toolsRequires a degree in education, instructional design, or related field; often holds certifications in instructional design or authoring tools
Work EnvironmentCreates online courses, often working remotely or in educational/corporate settingsDesigns learning experiences, collaborates with subject matter experts, often in educational or corporate environments
Industry UsageUsed across education, corporate training, and e-learning platformsPrimarily in education, corporate training, and e-learning development

While both roles focus on learning and education, E Learning primarily involves creating online courses and content, whereas Instructional Designers develop comprehensive learning experiences and curricula. E Learning professionals often focus on content delivery, while Instructional Designers emphasize instructional strategies and design principles.

What are the most commonly searched types of E Learning jobs in Remote, OR?

The most popular types of E Learning jobs in Remote, OR are:

What job categories do people searching E Learning jobs in Remote, OR look for?

The top searched job categories for E Learning jobs in Remote, OR are:

What cities near Remote, OR are hiring for E Learning jobs?

Cities near Remote, OR with the most E Learning job openings:

Infographic showing various E Learning job openings in Remote, OR as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution, with an average salary of $46,678 per year, or $22.4 per hour.

$165K - $190K/yr

Full-time

Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Job description

Bausch + Lomb (NYSE/TSX: BLCO) is a leading global eye health company dedicated to protecting and enhancing the gift of sight for millions of people around the world-from the moment of birth through every phase of life. Our mission is simple, yet powerful: helping you see better, to live better.


Our comprehensive portfolio of over 400 products is fully integrated and built to serve our customers across the full spectrum of their eye health needs throughout their lives. Our iconic brand is built on the deep trust and loyalty of our customers established over our 170-year history. We have a significant global research, development, manufacturing and commercial footprint of approximately 13,000 employees and a presence in approximately 100 countries, extending our reach to billions of potential customers across the globe. We have long been associated with many of the most significant advances in eye health, and we believe we are well positioned to continue leading the advancement of eye health in the future.

The AI Agent & ML Engineer will design, build, and optimize intelligent agents powered by advanced machine learning models, enabling process automation and decision support across Bausch + Lomb's departments. This hybrid role blends hands-on engineering with strategic vision, ensuring our AI capabilities deliver measurable impact through robust agent orchestration, scalable model deployment, and seamless integration with enterprise workflows. A key focus of this role is to understand complex business processes and translate them into agentic frameworks for automation and optimization.

Key Responsibilities
  • Architect and develop multi-agent systems for process automation and intelligent decision-making.
  • Implement reasoning, planning, and tool-use capabilities using frameworks such as LangChain, AutoGPT, or similar.
  • Integrate AI agents with APIs, enterprise systems, and business workflows to drive operational efficiency.
  • Analyze, map, and document business processes; translate process requirements into agentic frameworks and automation solutions.
  • Collaborate with business stakeholders to identify opportunities for agent-driven process improvement.
  • Develop, fine-tune, and deploy large language models (LLMs) and domain-specific ML models.
  • Build and maintain data pipelines, embeddings, and vector databases to support agent intelligence.
  • Optimize models for scalability, latency, and accuracy in production environments.
  • Champion Responsible AI practices, including monitoring, guardrails, and compliance with governance standards.
  • Lead Agile AI Operations, including backlog management, sprint planning, cross-functional collaboration, and continuous improvement.
Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or related field.
  • 3+ years' experience in AI/ML engineering, agent development, process engineering, or related roles.
  • Proven track record of building and deploying production-grade AI agents and ML models.
  • Deep expertise in at least three of the following: Agent orchestration, ML model development, Data engineering, API integration, Process engineering, Responsible AI.
  • Strong programming skills in Python; experience with ML frameworks (PyTorch, TensorFlow) and agent orchestration tools.
  • Experience in business process analysis, process mapping, and workflow automation.
  • Familiarity with prompt engineering and vector databases (e.g., Pinecone, Weaviate).
  • Success operating in a matrix environment, developing strong relationships across functional groups (e.g., IT, business, UX) to achieve shared goals.
  • Demonstrated expertise in Agile methodologies (e.g., Scrum, SAFe), with experience managing AI backlogs, sprints, and team metrics.
  • Excellent leadership, communication, and presentation skills, with the ability to engage and influence internal and external stakeholders, and proven sound business judgment and financial acumen.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

For U.S. locations that require disclosure of compensation, the starting pay for this role is between $165,000 and $190,000.The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors. 

U.S. based employees may be eligible for short-term and/or long-term incentives. They may also be eligible to participate in medical, dental, vision insurance, disability and life insurance, a 401(k) plan and company match, a tuition reimbursement program (select degrees), company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive sick time, floating holidays and paid vacation. 

Job Applicants should be aware of job offer scams perpetrated through the use of the Internet and social media platforms.

To learn more please read Bausch + Lomb's Job Offer Fraud Statement.

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.