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Remote Audio Machine Learning Jobs in London, CA

QA Engineer - AI Trainer

Fresno, CA ยท Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Apply Early

SDLC Engineer - AI Trainer

Fresno, CA ยท Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Apply Early

SDLC Engineer - AI Trainer

Visalia, CA ยท Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Apply Early

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Apply Early

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Showing results 1-20

Remote Audio Machine Learning information

See London, CA salary details

$29.6K

$84.6K

$171.9K

How much do remote audio machine learning jobs pay per year?

As of Jul 5, 2026, the average yearly pay for remote audio machine learning in London, CA is $84,636.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,100.00 and $113,200.00 per year, depending on experience, location, and employer.

What is the difference between Remote Audio Machine Learning vs Remote Audio Engineer?

AspectRemote Audio Machine LearningRemote Audio Engineer
Required CredentialsBackground in machine learning, data science, or AI; often a degree in computer science or related fieldsAudio engineering, sound design, or music production degree or certification
Work EnvironmentPrimarily focused on developing algorithms, data analysis, and model training, often in a tech or research settingRecording, mixing, editing audio, often in studios or remote production setups
Employer & Industry UsageTech companies, research labs, AI startups working on audio recognition or enhancementMusic, film, broadcasting, and media production companies

Remote Audio Machine Learning specialists focus on developing algorithms to process and analyze audio data, while Remote Audio Engineers handle the practical aspects of recording and editing sound. Both roles may collaborate but serve different functions within the audio industry.

How does a Remote Audio Machine Learning role typically collaborate with cross-functional teams, and what communication tools are commonly used?

In a Remote Audio Machine Learning position, collaboration with cross-functional teams such as software engineers, data scientists, and product managers is essential. Regular communication is maintained through tools like Slack, Zoom, and project management platforms such as Jira or Trello. Team members often participate in virtual stand-ups, sprint planning sessions, and code reviews to ensure alignment on project goals and timelines. Effective asynchronous communication and clear documentation are especially important in remote settings to keep everyone informed and foster a productive workflow.

What are the key skills and qualifications needed to thrive as a Remote Audio Machine Learning Engineer, and why are they important?

To thrive as a Remote Audio Machine Learning Engineer, you need strong foundations in digital signal processing, machine learning algorithms, and programming (often Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, and audio processing libraries (e.g., LibROSA), as well as experience with cloud platforms, is highly valuable. Excellent problem-solving skills, self-motivation, and clear remote communication are essential soft skills for collaborating across distributed teams. These competencies enable the development of robust, innovative audio ML solutions while ensuring effective teamwork and project delivery in a remote setting.

What is a Remote Audio Machine Learning job?

A Remote Audio Machine Learning job involves using machine learning techniques to analyze, process, or generate audio data while working from a remote location. Professionals in this field develop algorithms for tasks such as speech recognition, music classification, noise reduction, or audio synthesis. They often work with large datasets, build and train models, and collaborate with teams online. These roles typically require skills in programming, signal processing, and experience with machine learning frameworks.
What job categories do people searching Remote Audio Machine Learning jobs in London, CA look for? The top searched job categories for Remote Audio Machine Learning jobs in London, CA are:
What cities near London, CA are hiring for Remote Audio Machine Learning jobs? Cities near London, CA with the most Remote Audio Machine Learning job openings:
Psychiatric Nurse Practitioner (PMHNP) - Telehealth

Psychiatric Nurse Practitioner (PMHNP) - Telehealth

Brightside Health

Sanger, CA โ€ข Remote

$84 - $115/hr

Contractor

Posted 25 days ago

Be an early applicant


Job description

Psychiatric Nurse Practitioner (PMHNP) - Flexible Telehealth

Brightside is dedicated to offering transformative mental health care to individuals regardless of their background, location, or circumstances. Our primary goal is to improve access to high-quality and impactful mental health care that is supported by scientific research and delivered with humanity. This is why we are revolutionizing the traditional approach by leveraging precision treatment that is rooted in evidence and tailored to each person's unique needs, ensuring that they receive the most effective treatment from the very beginning.

Apply to be a Psychiatric Nurse Practitioner at Brightside Health, where we integrate a consumer-centric approach with evidence-based methodologies, cutting-edge artificial intelligence, and a dedicated team of providers and therapists to deliver customized treatment for each Brightside member. As we redefine mental healthcare for the telemedicine era, we're driven to establish ourselves as the leading provider of psychiatric care across the nation. Be part of our mission to transform the landscape of mental health treatment.

Our Psychiatric Nurse Practitioners Enjoy:

  • Flexible & Remote Telemedicine: Evidence-based approach to psychiatric care via telemedicine, including asynchronous case review, video consultation, and e-prescribing, lowers the barriers to accessing high-quality and affordable care.

  • Supportive and Collaborative Environment: To ensure the success of our patients and members, we have established dedicated teams for both member and provider support. Additionally, we facilitate collaboration between our providers and clinical leadership through 1:1 consultations, as well as encourage interaction among colleagues through internal communication forums.

  • Measurement-Based Care: Our technology measures symptoms, adherence, and side effects weekly through the active treatment phase and automatically triggers treatment reviews if patients are not improving. We are redefining the provider-patient relationship, supporting encounter-based care with remote and proactive oversight enabled by technology.

  • Machine Learning-Powered Clinical Decision Support: Contrary to conventional practice, data can help match patients to medications for better outcomes. Using machine learning and real-time data from patient monitoring, we are building a highly effective clinical decision support tool for prescribing.

Who Were Hiring:

Were seeking forward-thinking and experienced Psychiatric Nurse Practitioners who understand the magnitude of the need and want to be part of the solution. Working with Brightside means the ability to practice with clinical autonomy alongside Psychiatrist support while creating a flexible work schedule. Our providers use the latest tools, including a custom-built practice management EMR, and clinical decision support, all truly designed to be easy to use.

Benefits:

  • 100% remote, telehealth position

  • 1099 contract agreement

  • Autonomy to create your own schedule

  • No on-call or after-hours work

  • Collaborating psychiatrists covered for all psychiatric nurse practitioners (nationwide)

  • Malpractice insurance covered

  • Ongoing collaboration and camaraderie with other Brightside providers

  • State-of-the-art tools and customizable EMR, integrated with artificial intelligence to prompt check-ins, follow-ups, and much more with your patients

Responsibilities:

  • Maintain all appropriate licensure to prescribe and dispense medications under applicable state and federal laws

  • Have excellent grammar, attention to detail, and proficient at writing medical information at a patient level

  • Must be technology savvy and excited about how technology can improve medical care

  • Be pleasant, responsive, and willing to collaborate with our team

  • Provide direct patient care via telemedicine (remote); including synchronous video consultations and asynchronous messaging

  • Consistently responsive to clinical leadership team and highly reliable to our members

  • Evaluate patient records, make prescribing decisions, and provide medication-related counseling as needed in a timely manner

  • Successful completion of charting within 48 hours of session

  • Support a 72-hour messaging response window for patients

Requirements:

  • Active and clear APRN license

  • Licensed Nurse Practitioner - Certified in Psychiatric & Mental Health (PMHNP Required)

  • At least 2 years of autonomous experience practicing as a PMHNP, post-graduate

  • Previous experience working in an outpatient setting

  • Telehealth experience and a high comfort level of working with technology

  • Must be licensed in 4+ states (the more the merrier)

  • 8+ hours of availability per week

  • Experience working with adolescents is strongly preferred

  • Opted in to Medicare/Medicaid

We know that diversity makes for the best problem-solving and creative thinking, and are committed to equity and inclusion. We are dedicated to adding new perspectives to the team and encourage everyone to apply if your experience is close to what we are looking for. Were an Equal Opportunity Employer and do not discriminate against candidates or patients on the basis of race, color, gender, sexual orientation, gender identity or expression, age, religion, disability, national origin, protected veteran status, or any other status protected by applicable federal, state, or local law.