2

Remote Sleep Technologist Jobs in Oregon (NOW HIRING)

Director of Tax

OR · Remote

$195K - $215K/yr

... sleep apnea (OSA) and other diseases driven by dysregulated aldosterone. Its initial product ... US Salary Range: $195,000-$215,000 #LI-Remote

Channel Marketing Manager

OR · Remote

$96K - $106K/yr

... sleep-all in one simple subscription. Headquartered in NYC with team members in Europe, North ... THE OPPORTUNITY We are hiring a Channel Marketing Manager for our Revenue Marketing team in Remote ...

Remote Sleep Technologist information

See Oregon salary details

$9

$32

$50

How much do remote sleep technologist jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for remote sleep technologist in Oregon is $32.21, according to ZipRecruiter salary data. Most workers in this role earn between $25.91 and $35.58 per hour, depending on experience, location, and employer.

What skills and qualifications are needed to be a remote sleep technologist?

A Remote Sleep Technologist needs a solid understanding of sleep disorders, polysomnography procedures, and patient monitoring, typically supported by a credential from the Board of Registered Polysomnographic Technologists (BRPT) or an equivalent certification. Proficiency in using remote sleep study software, telehealth platforms, and diagnostic equipment is essential. Strong communication, attention to detail, and the ability to troubleshoot technology issues set top candidates apart. These skills and qualifications are vital to ensure high-quality, accurate sleep study data collection and to provide effective support for patients and clinical teams remotely.

What does a remote sleep technologist do?

A typical workday for a Remote Sleep Technologist involves remotely monitoring overnight sleep studies, analyzing data, ensuring equipment is functioning correctly, and communicating with patients and clinical teams as needed. You may provide technical support for patients setting up home sleep testing devices and assist in troubleshooting any issues in real time. Collaboration with physicians, other technologists, and administrative staff is common, especially when interpreting results or coordinating patient care. The remote nature of the job allows for flexible scheduling, but it often requires attention during overnight hours to monitor live studies and respond promptly to alerts or patient concerns.

What is a remote sleep technologist?

A Remote Sleep Technologist analyzes sleep studies and monitors patients' sleep data from a remote location. They assist in diagnosing sleep disorders by reviewing polysomnographic recordings, scoring sleep data, and ensuring quality patient care. This role typically involves working with sleep clinics, hospitals, or telemedicine services to provide expert analysis without being physically present. Strong knowledge of sleep study protocols, equipment, and data interpretation is required.

What are the most commonly searched types of Sleep Technologist jobs in Oregon? The most popular types of Sleep Technologist jobs in Oregon are:
What are popular job titles related to Remote Sleep Technologist jobs in Oregon? For Remote Sleep Technologist jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Sleep Technologist jobs in Oregon look for? The top searched job categories for Remote Sleep Technologist jobs in Oregon are:
What cities in Oregon are hiring for Remote Sleep Technologist jobs? Cities in Oregon with the most Remote Sleep Technologist job openings:
Infographic showing various Remote Sleep Technologist job openings in Oregon as of August 2026, with employment types broken down into 4% As Needed, 68% Full Time, and 28% Part Time. Highlights an 100% Remote job distribution, with an average salary of $67,001 per year, or $32.2 per hour.

Lead Instructor: MLOps / AI Platform Engineering

General Assembly

OR • Remote

$11K - $15K/wk

Other

Re-posted 6 days ago


Job description

Job Title: Lead Instructor: MLOps / AI Platform Engineering

Company: General Assembly

Client: Confidential - Customer Success Reskilling

Location: Remote (Must work West Coast / Pacific Time hours)

Duration: 2 Weeks (Starting Mid-June)

Commitment: Roughly 30 hours per week

Compensation: $11,500 - $15,500 (Estimated lump sum payment for one 60-hour program)

About the Engagement

General Assembly is delivering a specialized reskilling program designed to transition Customer Success and Account Management professionals into MLOps and AI Platform Engineering roles.

As the Lead Instructor, you will be the face of lessons. You aren't just checking the math; you are bridge-building. You will lead experienced customer-facing professionals through the complexities of taking AI systems from pilot to production, ensuring they leave the 2-week intensive with a functional understanding of MLOps governance and deployment.

What You'll Do
  • Lead Live Instruction: Deliver high-energy, synchronous remote lectures and "prompt-along" sessions covering ML pipelines, model deployment, and monitoring.
  • Simplify the Complex: Translate high-level MLOps concepts (CI/CD for ML, governance frameworks) into digestible insights for learners who are experienced professionals but not career engineers.
  • Facilitate Hands-on Labs: Guide students through self-paced exercises and live troubleshooting within the Azure AI Foundry and ML environments.
  • Mentor & Office Hours: Provide real-time feedback during dedicated lab hours, helping students navigate technical roadblocks in Python and Azure infrastructure.
  • Drive Learning Outcomes: Ensure students can successfully articulate and execute model lifecycle management strategies by the end of the cohort.
What You Bring
  • The Experience: 7+ years in software or data engineering, with at least 3+ years specifically in MLOps or ML platform roles in a production environment.
  • The "Teacher" Gene: Proven experience in technical instruction, bootcamp delivery, or corporate training. You should be comfortable "reading the room" in a virtual setting.
  • Azure Fluency: Deep, hands-on expertise with Azure ML and AI Foundry. You should be able to navigate these platforms in your sleep.
  • Technical Foundation: Proficiency in Python, Data Engineering fundamentals, and applying DevOps/CI/CD principles specifically to ML workloads.
  • The Credentials: AZ-900, AI-900, and DP-100 are required; AI-102 is preferred.
  • The Pedigree: Experience as an AI Platform or Azure ML engineer at a major tech firm (Microsoft, Google, etc.) is a massive plus.
Note on Schedule: This is a high-intensity, 2-week engagement. Candidates must be fully available for 30 hours per week during the mid-June window and be prepared to operate on Pacific Time (PT) schedules to align with the learner cohort.