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Remote Audio Machine Learning Jobs in Moore, OK (NOW HIRING)

Insurance Agent

Oklahoma City, OK ยท On-site +1

$30K - $160K/yr

... a machine? If you answered YES to any of those questions, please keep reading. How about TODAY ... Remote work and in-person training opportunities available * Potential to earn a raise every 2 ...

Showing results 41-50

Remote Audio Machine Learning information

See Moore, OK salary details

$28.4K

$81.3K

$165.2K

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

As of Sep 11, 2026, the average yearly pay for remote audio machine learning in Moore, OK is $81,331.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,200.00 and $108,800.00 per year, depending on experience, location, and employer.

What is a remote audio machine learning?

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 are the key skills and qualifications needed to thrive as a remote audio machine learning engineer?

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.

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 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.

What are popular job titles related to Remote Audio Machine Learning jobs in Moore, OK?

For Remote Audio Machine Learning jobs in Moore, OK, the most frequently searched job titles are:

Infographic showing various Remote Audio Machine Learning job openings in Moore, OK as of August 2026, with employment types broken down into 27% Internship, and 73% Full Time. Highlights an 100% Remote job distribution, with an average salary of $81,331 per year, or $39.1 per hour.

Client Success Expert (Commercial Team) (Remote)

Oklahoma City, OK โ€ข Remote

Full-time

Posted 16 days ago


Job description

OUR HIRING PROCESS:

  • We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
  • We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
  • At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
  • From there on, it's decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. 
    INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy

Are you driven by the desire to deliver exceptional client experiences and thrive in a dynamic environment? At INFUSE, we're seeking a passionate Client Success Specialist to join our team, where your efforts directly contribute to our clients' satisfaction and our company's success. This position offers an enriching path to professional growth and the unique opportunity to work with a variety of industries, ensuring no two days are the same. INFUSE has built a reputation as a beloved employer by prioritizing employee satisfaction and creating a workplace where everyone feels valued and connected. Joining our team means becoming part of a supportive community that celebrates every success and encourages continuous improvement. You'll discover how our employees love their jobs, driven by the meaningful connections they make and the positive impact they have on our clients' businesses.


Key Responsibilities
  • Build and maintain strong, long-lasting client relationships
  • Ensure the timely and successful delivery of our solutions according to client needs and objectives
  • Communicate clearly the progress of monthly/quarterly initiatives to internal and external stakeholders
  • Identify and grow opportunities within the territory and collaborate with sales teams to ensure growth attainment
  • Assist with challenging client requests or issue escalations as needed
  • Provide assistance across a variety of administrative and operational tasks, such as data entry, updating internal systems, or managing schedules.

Requirements
  • Proven track record of managing client relationships, preferably in a related field such as hospitality, client success, or sales
  • Strong communication and interpersonal skills
  • Can handle various tasks with attention to detail, managing priorities effectively in a fast-paced environment.
  • Empathetic understanding of client needs and ability to address them effectively
  • Ability to address challenges and proactively offer solutions.

If you're passionate about building meaningful relationships and delivering top-notch client experiences, we'd love to hear from you. Apply now to embark on a rewarding career journey with INFUSE, where your ambitions and contributions are recognized and valued. Don't miss your chance to be part of a team that genuinely enjoys making a difference. Submit your application today!


We are an Equal Opportunity Employer. We make hiring decisions based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, or any other characteristic protected under applicable law. We welcome applicants from all backgrounds and believe that diversity of experience, culture, and perspective makes us stronger.