ZipRecruiter

Log In

2

Remote E Learning Jobs in Oregon (NOW HIRING)

Cresta

Senior Machine Learning Engineer

OR · On-site +1

$205K - $270K/yr

Define and measure quality metrics (e.g., accuracy, faithfulness, task completion, latency, cost ... Remote work setup budget to help you create a productive home office * Monthly wellness and ...

Quantiphi, Inc.

Technical Architect - Machine Learning

OR · Remote

$66.25 - $80/hr

Remote (USA/Canada) Description: As an Architect - Machine Learning Engineer at Quantiphi, you will ... Familiarity with LLM tool use, prompt templating, vector stores (e.g., Opensearch, Pinecone ...

AnewHealth

Pharmacy Corporate Trainer

OR · On-site +1

Create high-quality training materials, such as job aids, manuals, and e-learning modules, adapted ... Proven experience as a Corporate Trainer or similar role, with experience delivering remote and ...

Zillow

Principal Machine Learning Engineer, Agentic AI

OR · On-site +1

$204.40K - $326.60K/yr

This role has been categorized as a Remote position. "Remote" employees do not have a permanent ... i.e., LLM models, either from OpenAI or open source) with large-scale engineering. We are looking ...

Gnostech LLC

Software Engineer (US-Remote)

OR · Remote

Build and integrate AI-enabled capabilities into applications, including machine learning models ... Utilize AI-assisted development tools (e.g., LLM coding assistants, code analysis tools) to enhance ...

ARTHREX

Data Analyst (remote)

OR · On-site +1

$70K - $80K/yr

Configure and support automated data flows between systems (e.g., UserPilot, Planhat, Intellum ... and learning technologies (Intellum). * Basic understanding of data analysis and software ...

New

RWS Group

IP Research Manager

$110K - $120K/yr

Access to a vast library of eLearning training. * Great benefits plan (dental, medical, STD/LTD, EAP...) * Hybrid/Remote model and Agile work practices Base pay $110,000 - $120,000 / year Actual rate ...

RWS Group

IP Research Manager

$110K - $120K/yr

Access to a vast library of eLearning training. * Great benefits plan (dental, medical, STD/LTD, EAP...) * Hybrid/Remote model and Agile work practices Base pay $110,000 - $120,000 / year Actual rate ...

next page

Showing results 1-20

People also search for

All JobsRemote E Learning JobsRemote E Learning Jobs in Oregon

Remote E Learning information

See Oregon salary details

$11.6K

$88.7K

$148K

How much do remote e learning jobs pay per year?

As of May 29, 2026, the average yearly pay for remote e learning in Oregon is $88,691.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,100.00 and $147,000.00 per year, depending on experience, location, and employer.

What is a Remote E Learning job?

A Remote E Learning job involves working online to create, manage, or support digital education programs. This can include roles such as instructional design, e-learning development, online teaching, or learning management system (LMS) administration. These jobs allow professionals to develop and deliver educational content without being physically present in a classroom. Many remote e-learning jobs require expertise in digital education tools, online course creation, and virtual communication.

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

To excel in Remote E Learning roles, you need expertise in instructional design, digital pedagogy, and often a background in education or a related field. Familiarity with Learning Management Systems (LMS) like Moodle or Canvas, e-learning authoring tools such as Articulate or Captivate, and sometimes certifications in online teaching or instructional technology are highly valued. Strong communication, time management, and creative problem-solving are vital soft skills for engaging remote learners and collaborating with virtual teams. These abilities ensure effective curriculum delivery, learner engagement, and smooth project execution in a fully remote environment.

What are some common challenges faced when working in Remote E Learning positions?

One common challenge in Remote E Learning roles is maintaining high levels of engagement and interaction with students who may be geographically dispersed and have varying levels of digital literacy. Adapting course materials and delivery methods to suit a wide range of learning styles can also be demanding, as is troubleshooting technical issues in real time. Collaborating with instructional designers, subject matter experts, and technical support teams usually happens virtually, requiring proactive communication and strong organization skills. However, with effective digital tools and a learner-centered mindset, many professionals find these challenges rewarding opportunities for creativity and innovation.
More about Remote E Learning jobs
What are popular job titles related to Remote E Learning jobs in Oregon? For Remote E Learning jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote E Learning jobs in Oregon look for? The top searched job categories for Remote E Learning jobs in Oregon are:
What cities in Oregon are hiring for Remote E Learning jobs? Cities in Oregon with the most Remote E Learning job openings:
Remote E Learning jobs near you
Infographic showing various Remote E Learning job openings in Oregon as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $88,691 per year, or $42.6 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Cresta

On-site, Remote

$205K - $270K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Job description

About the role:

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team placement is determined based on experience, strengths, and business needs.

Current focus areas include:

  • Agentic Assist: Lead and build next-generation agentic AI systems that augment contact center agents in real time. This track requires strong pre-LLM ML foundations, deep expertise in LLMs and modern prompting techniques, a rapid prototyping mindset, and a proven ability to translate cutting-edge research into scalable, production-grade systems.
  • Agent & System Quality: Design evaluation frameworks and improve the reliability, robustness, and performance of LLM-powered agents. This includes diagnosing and mitigating failure modes such as hallucinations, retrieval errors, tool misuse, context drift, prompt brittleness, and multi-step reasoning breakdowns, while defining measurable quality metrics (e.g., accuracy, faithfulness, task completion, latency, and cost) for complex, non-deterministic systems.
  • Insights: Architect and scale LLM and retrieval-augmented generation pipelines that ground models in enterprise data. This track focuses on building high-performance ML systems that process complex data, extract structured insights, and deliver real-time, actionable intelligence at scale.

Responsibilities:

  • Lead the design and development of Cresta's next-generation AI Agents and Agentic Assist systems, defining system architecture and core modeling approaches.
  • Architect intelligent, multi-step agent workflows that combine real-time guidance, knowledge retrieval, reasoning, summarization, and automated actions into cohesive production systems.
  • Design, deploy, and optimize LLM-powered systems, including Retrieval-Augmented Generation (RAG) pipelines, multi-agent orchestration, and domain-adapted models.
  • Improve reasoning, planning, and tool-use capabilities in real-world AI applications.
  • Develop evaluation strategies for complex, non-deterministic systems, including offline benchmarking, online experimentation, and LLM-as-a-judge methodologies.
  • Diagnose and mitigate real-world failure modes such as hallucinations, retrieval errors, tool misuse, prompt brittleness, and multi-step reasoning breakdowns.
  • Define and measure quality metrics (e.g., accuracy, faithfulness, task completion, latency, cost, robustness) to improve system reliability and performance.
  • Optimize AI systems for scalability, latency, security, and cost efficiency in production environments.
  • Collaborate cross-functionally with product, frontend, and backend teams to integrate AI capabilities seamlessly into Cresta's platform.
  • Mentor engineers, contribute to technical strategy, and help shape the roadmap for Cresta's AI systems.

Qualifications We Value:

  • Bachelor's degree in Computer Science, Mathematics, or a related field; Master's or Ph.D. preferred.
  • 5-8+ years of industry experience building and deploying machine learning systems in production, including significant experience working with LLMs.
  • Strong expertise in NLP, Generative AI, transformer architectures, embeddings, and retrieval systems.
  • Proven experience designing and deploying Retrieval-Augmented Generation (RAG) systems in enterprise environments.
  • Experience building and evaluating complex agentic or multi-step LLM workflows.
  • Strong knowledge of modern ML frameworks and tools (e.g., PyTorch, TensorFlow, Hugging Face) and distributed/cloud-based infrastructure.
  • Demonstrated ability to optimize real-time ML systems for performance, scalability, and reliability.
  • Strong technical leadership skills, with the ability to influence cross-functional decisions and raise the engineering bar.

Perks & Benefits:

We offer a comprehensive and people-first benefits package to support you at work and in life:

  • Comprehensive medical, dental, and vision coverage with plans to fit you and your family
  • Flexible PTO to take the time you need, when you need it
  • Paid parental leave for all new parents welcoming a new child
  • Retirement savings plan to help you plan for the future
  • Remote work setup budget to help you create a productive home office
  • Monthly wellness and communication stipend to keep you connected and balanced
  • In-office meal program and commuter benefits provided for onsite employees

Compensation at Cresta: 

Cresta's approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table.

The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.

Salary Range: $205,000-$270,000 + Offers Equity

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai 

Apply