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Remote Eeg Supervisor Jobs (NOW HIRING)

Ceribell, Inc

AI & Data Systems Engineer (Remote)

Seattle, WA · On-site +1

$161K - $173K/yr

The Ceribell System is a novel, point-of-care electroencephalography ("EEG") platform specifically ... Other responsibilities as assigned by your Manager/Supervisor What We're Looking For: * 3 - 6 years ...

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Remote Eeg Supervisor information

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How much do remote eeg supervisor jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for remote eeg supervisor in the United States is $30.65, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $36.54 per hour, depending on experience, location, and employer.

What is the difference between Remote Eeg Supervisor vs Remote Neurodiagnostic Technologist?

AspectRemote Eeg SupervisorRemote Neurodiagnostic Technologist
CredentialsCertification in EEG technology, supervisor certification often preferredCertification in neurodiagnostic procedures, EEG certification beneficial
Work EnvironmentOversees EEG testing, manages staff, ensures quality controlPerforms EEG recordings, assists in testing procedures, follows protocols
Employer & IndustryHospitals, clinics, neurodiagnostic labsHospitals, outpatient clinics, diagnostic labs

The Remote Eeg Supervisor typically holds supervisory responsibilities, overseeing EEG testing and staff, requiring leadership skills and advanced certifications. In contrast, the Remote Neurodiagnostic Technologist primarily conducts EEG recordings and assists with testing procedures. Both roles operate in similar healthcare environments and require related certifications, but the supervisor role emphasizes management and oversight.

What are Remote EEG Supervisors?

Remote EEG Supervisors are healthcare professionals who oversee the collection and quality of electroencephalogram (EEG) data from a distance, typically using secure online platforms. They monitor EEG recordings in real-time or review them after acquisition to ensure accurate results and adherence to standards. These supervisors often provide guidance to on-site technologists, troubleshoot technical issues, and may assist with interpreting data for neurologists. Their role is critical in supporting patient care by ensuring EEG studies are performed correctly, even when direct supervision is not possible.

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

To thrive as a Remote EEG Supervisor, you need in-depth knowledge of neurodiagnostic procedures, EEG interpretation, and typically an associate's or bachelor's degree in neurodiagnostic technology along with ABRET certification. Familiarity with EEG recording systems, remote monitoring platforms, and compliance with HIPAA regulations is crucial. Strong leadership, attention to detail, and excellent communication skills help you effectively oversee technologists and ensure patient safety. These skills and qualities are vital to maintain high standards of care, accurate data collection, and remote team coordination in neurodiagnostic services.

What are some common challenges faced by Remote EEG Supervisors and how can they be addressed?

Remote EEG Supervisors often encounter challenges such as ensuring consistent data quality across multiple remote sites, maintaining effective communication with technologists, and troubleshooting technical issues from a distance. To address these challenges, supervisors typically implement standardized protocols, use secure telemedicine platforms for real-time collaboration, and provide ongoing training for remote staff. Building strong relationships with both the technical and clinical teams also helps foster a supportive work environment and ensures high-quality patient care.
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Remote Eeg Supervisor jobs near you
AI & Data Systems Engineer (Remote)

AI & Data Systems Engineer (Remote)

Ceribell, Inc

Portland, OR • On-site, Remote

$161K - $173K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

Job description

About Ceribell

Ceribell is a medical technology company focused on transforming the diagnosis and management of patients with serious neurological conditions. The Ceribell System is a novel, point-of-care electroencephalography ("EEG") platform specifically designed to address the unmet needs of patients in the acute care setting, and is being used in hundreds of community hospitals, large academic facilities and major IDN's across the country. Our entire team is driven by a shared commitment to transforming the landscape of critical care through our rapid seizure detection technology, come join the movement!

Position Overview:

The AI & Data Systems Engineer will be a key individual contributor on Ceribell's Data Architecture & Engineering team, responsible for much of the hands-on implementation work that turns architectural plans into reality. This role exists at the intersection of software development, data engineering, and DevOps as someone who is equally comfortable writing application code and managing the infrastructure those systems run on.

A significant part of this role involves taking ideas and early-stage prototypes for AI-powered internal tools and engineering them into stable, supportable internal applications. The ideal candidate is a versatile builder who can move fluidly across layers of the stack, understands when something is production-ready versus when it needs to be rebuilt properly, and takes pride in writing code and infrastructure that others can maintain and build on.

What you'll do:

  • Implement internal tools and applications based on architectural direction from the Director of Data Architecture & Engineering, including taking stakeholder prototypes and re-engineering them into production-grade systems.
  • Manage and maintain the infrastructure supporting internal AI tools and data systems, including deployment, configuration, monitoring, and incident response.
  • Write clean, well-documented code across whatever languages and frameworks the work requires; apply sound engineering practices around testing, version control, and code review.
  • Evaluate and integrate AI tools and third-party services into internal workflows where they provide clear value, with attention to security, cost, and long-term maintainability.
  • Contribute to data quality practices: implementing automated checks, investigating pipeline failures, and helping establish clear data ownership and lineage.
  • Collaborate with stakeholders across the business to understand requirements, surface technical tradeoffs, and deliver solutions that meet actual needs rather than assumed ones.
  • Support access control and permissions management across systems and tooling, contributing to the team's broader security and governance practices.
  • Maintain thorough documentation of systems, data flows, and processes so that institutional knowledge is preserved and accessible.
  • Other responsibilities as assigned by your Manager/Supervisor

What We're Looking For:

  • 3 - 6 years of hands-on experience in a technical role spanning some combination of software development, data engineering, and infrastructure or DevOps work.
  • Experience implementing and deploying AI solutions in a production environment, including model integration, API usage, and operational maintenance.
  • Proficiency in at least one general-purpose programming language (e.g. Python) and comfort picking up new languages or frameworks as the work demands.
  • Experience building and maintaining data pipelines, including working with APIs, relational databases, and cloud data platforms.
  • Working knowledge of DevOps practices and tools: CI/CD pipelines, containerization (Docker), cloud infrastructure (AWS, GCP, or Azure), and infrastructure-as-code concepts.
  • Demonstrated ability to read and understand existing codebases, including prototypes or AI-generated code, assess their quality, and refactor or rebuild them as appropriate.
  • Familiarity with enterprise business systems such as Snowflake, Salesforce, NetSuite, or similar platforms, including working with their APIs and data models.
  • Strong attention to detail.
  • Good written and verbal communication skills; able to explain technical decisions clearly to non-technical colleagues.
  • Bachelor's degree in Computer Science, Engineering, or a related field preferred; equivalent practical experience accepted.

Compensation:

San Francisco Bay Area, Los Angeles, and New York City Metropolitan Locations: $161K - $173K

All other National Locations: $141K - $162K

Compensation Range
$141,000—$173,000 USD

A candidate's final salary offer will be based on their skills, education, work location and experience, and thus it may differ from the posted range. Compensation may also include bonuses consistent with Ceribell's corporate compensation plan. Note, the above description is not all-encompassing and Ceribell reserves the right to change or modify job duties and assignments at any time.

In addition to your base compensation, Ceribell offers eligible employees the following:

  • Performance-based incentive compensation (varies by role)
  • Equity opportunities
  • 100% Employer paid Health Benefits for Employees
  • 50% - 70% Employer paid Health, Dental & Vision for dependents (depending on plan selection)
  • 100% paid Life and Long-Term Disability Insurance
  • 401(k) with a generous company match
  • Employee Stock Purchase Plan (ESPP) with a discount
  • Monthly cell phone stipend
  • Flexible paid time off
  • 13 Paid Holidays + 3 Company Wellness Days
  • Excellent parental leave policy
  • Fantastic culture with tremendous career advancement opportunities
  • Joining a mission-minded organization!

Application Deadline: Ongoing

Other Job Details
Ceribell reports transfers of value to health care providers (HCPs) as required by federal and state transparency laws. These laws and implementing regulations require Ceribell to provide government agencies with HCPs' names, addresses and the type of payments or other value received, generally for public disclosure. If you are an HCP and we pay or reimburse your recruiting expenses as a result of interviewing with Ceribell, your name, address and the amount of payments made may be reported to the government.

Equal Opportunity Employer
Ceribell is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth and related medical conditions), sexual orientation, gender identity or expression, national origin, age, marital status, disability, veteran status or any other characteristic protected by law. Ceribell complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Ceribell is an E-Verify employer. Any applicant with a disability who requires an accommodation during the application process should contact talent@ceribell.com to request reasonable accommodation.

Privacy Statement
For information on how Ceribell processes personal data of job applicants, please review our Privacy Policy.

Compliance Disclaimer
If you believe this job posting is non-compliant, please submit a report to legal@ceribell.com. Please note that we will not respond to inquiries unrelated to job posting compliance.