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Remote Sleep Tech Jobs in California (NOW HIRING)

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower's key areas of expertise include contactless biosensing, remote monitoring, non-invasive sleep technology, and the development of new technologies for others in the life sciences and ...

Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world ... Employees approved for remote work must perform their duties from a single, company-approved based ...

Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world ... The role can be based out of NYC, SF, or Remote. How you'll contribute * Lead performance marketing ...

... diabetes, sleep apnea and more- to join our team. In this role, you will see patients via ... Strong proficiency and experience with medical technology including EMR and mobile apps.

... diabetes, sleep apnea and more- to join our team. In this role, you will see patients via ... Strong proficiency and experience with medical technology including EMR and mobile apps.

Senior IT Systems/Platform Engineer

San Francisco, CA · On-site +1

$123K - $168K/yr

... sleep quality by using their Oura Ring and its connected app. We've helped millions of people ... a fully remote role. What You Will Do * Own hands-on platform and systems engineering delivery ...

About ResMed At ResMed, we create life-changing health technologies that help people sleep better ... San Diego, CA or Remote (U.S. West Coast / Pacific Time Zone) What You'll Do * Set the vision ...

$137K/yr

... sleep-tracking wearable, Ultrahuman M1, a continuous glucose monitoring platform, Blood Vision, a preventive blood testing platform with the pioneering UltraTrace technology and Ultrahuman Home, a ...

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Remote Sleep Tech information

See California salary details

$8

$30

$58

How much do remote sleep tech jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for remote sleep tech in California is $30.45, according to ZipRecruiter salary data. Most workers in this role earn between $22.79 and $34.62 per hour, depending on experience, location, and employer.

What is the difference between Remote Sleep Tech vs Sleep Technician?

AspectRemote Sleep TechSleep Technician
CredentialsCPAP certification, sleep technology certificationSleep technician certification, CPR certification
Work EnvironmentRemote, telehealth setupSleep labs, clinics, or hospitals
Employer & IndustrySleep clinics, telehealth companiesSleep centers, hospitals, clinics
Job FocusMonitoring sleep data remotely, patient supportConducting sleep studies, data collection

The main difference is that Remote Sleep Tech primarily works remotely, focusing on monitoring sleep data and supporting patients via telehealth, while Sleep Technicians typically work onsite in sleep labs conducting sleep studies. Both roles require similar certifications but differ in work environment and daily tasks.

What are some common challenges faced by Remote Sleep Techs, and how can they be addressed?

Remote Sleep Techs often encounter challenges such as troubleshooting technical issues with home sleep testing equipment and ensuring patients properly use devices without in-person guidance. Clear communication, patience, and providing thorough instructions are important to help patients feel comfortable and supported. Additionally, collaborating closely with physicians and other healthcare professionals via secure digital platforms helps maintain high-quality patient care. Staying organized and proactive in follow-up communications can further enhance the remote patient experience.

What is a Remote Sleep Tech?

A Remote Sleep Tech, also known as a remote sleep technologist, is a healthcare professional who monitors and evaluates patients' sleep studies from a distance, typically using specialized software and internet connectivity. They analyze data from polysomnography (sleep studies) and provide real-time or post-study feedback to on-site staff or physicians. This role is crucial in diagnosing sleep disorders such as sleep apnea, insomnia, and restless leg syndrome. Remote Sleep Techs can work from home or a remote monitoring center, helping expand access to sleep studies in underserved areas. Their work supports sleep labs in providing timely and accurate diagnoses.

What are the key skills and qualifications needed to thrive as a Remote Sleep Tech, and why are they important?

To thrive as a Remote Sleep Tech, you need a solid understanding of sleep disorders, polysomnography procedures, and typically hold a certification such as RPSGT or CPSGT. Familiarity with sleep study software, remote monitoring systems, and electronic health records is essential for effective data collection and analysis. Strong attention to detail, communication skills, and the ability to work independently are standout soft skills in this role. These competencies ensure accurate diagnosis, high-quality patient care, and seamless collaboration with healthcare teams in a remote setting.
What are the most commonly searched types of Sleep Tech jobs in California? The most popular types of Sleep Tech jobs in California are:
What cities in California are hiring for Remote Sleep Tech jobs? Cities in California with the most Remote Sleep Tech job openings:
Data Scientist

$130K - $170K/yr

Full-time

Re-posted 25 days ago


Job description

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless biosensing together with end-to-end engineering services, and customization of software in the field of life sciences, health, and biotechnology. Fullpower's platform is vetted and deployed as a PaaS, backed by a patent portfolio of 135+ patents. Fullpower's key areas of expertise include contactless biosensing, remote monitoring, non-invasive sleep technology, and the development of new technologies for others in the life sciences and biotechnology fields. Fullpower's B2B PaaS customers are in medical solutions, remote-contactless biosensing, bedding solutions, wearable, and wellness services.

Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in working on our next generation of products and algorithms and modeling rich, biomedical sensor data with a view toward medical, health, and fitness outcomes.

The ideal candidate will have a strong background in machine learning and data science and a proven track record of deploying models and algorithms for real-world applications.

Job Responsibilities:

  • Work with health data and time-series sensor data
  • Connect biomedical sensor data with medical, health, and fitness outcomes
  • Research and development of machine learning algorithms and statistical models for non-invasive sleep tracking
  • Develop visualizations and tools for understanding and annotating data
  • Optimize algorithms for running on embedded devices and in the cloud
  • Design and run experiments and clinical trials
  • Processing, cleaning, and combining different data sources to create new datasets
  • Collaborate with an interdisciplinary team of scientists, engineers, mathematicians for quick deployment of solutions

Software skills:

  • Expertise in Python and packages such as numpy, pandas, scikit-learn
  • Experience with a deep learning framework such as Tensorflow, pyTorch, or equivalent
  • Experience working with databases including familiarity with SQL
  • Experience with Amazon Web Services (AWS) or Google Cloud
  • Experience with C++ is a plus

Leadership qualities:

  • Self starter
  • Strong interpersonal and communication skills

Education and Experience:

  • Experience applying data science and machine learning to real-world problems
  • Bachelor's degree or higher in Mathematics, Statistics, Physics, Computer Science, or equivalent
  • Graduate degree and/or 5+ years experience a plus

Additional Information:

  • Fullpower does not sponsor work visas - must already be authorized to work in the United States
  • The base salary range for this full-time position is $130,000 to $170,000, plus equity, plus benefits. Fullpower's salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education and training.
Employment Type: Full-Time