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Music Ai Audio Python Jobs (NOW HIRING)

We are currently looking for a Vocal Audio Specialist - Freelance AI Trainer Project in Netherlands ... Follow precise musical and vocal instructions, including pitch intervals, tonal constraints, and ...

Creative Coder

Los Angeles, CA · On-site

$154K - $216K/yr

... Support AI Audio teams throughout every stage of the model lifecycle, from training through ... Kotlin, Javascript, RUST and Python • Experience building large scale audio programs with solid ...

Support AI Audio teams throughout every stage of the model lifecycle, from training through ... C++. Kotlin, Javascript, RUST and Python * Experience building large scale audio programs with ...

Support AI Audio teams throughout every stage of the model lifecycle, from training through ... C++. Kotlin, Javascript, RUST and Python * Experience building large scale audio programs with ...

Support AI Audio teams throughout every stage of the model lifecycle, from training through ... C++. Kotlin, Javascript, RUST and Python * Experience building large scale audio programs with ...

Creative Coder

Fremont, CA · On-site

$154K/yr

Support AI Audio teams throughout every stage of the model lifecycle, from training through ... C++. Kotlin, Javascript, RUST and Python * Experience building large scale audio programs with ...

BA/BS in Audio or Music Technology, Computer Science, Transmedia, or equivalent work experience ... Experience building AI audio pipelines using tools such as TensorFlow, PyTorch, Langchain and audio ...

BA/BS in Audio or Music Technology, Computer Science, Transmedia, or equivalent work experience ... Experience building AI audio pipelines using tools such as TensorFlow, PyTorch, Langchain and audio ...

BA/BS in Audio or Music Technology, Computer Science, Transmedia, or equivalent work experience ... Experience building AI audio pipelines using tools such as TensorFlow, PyTorch, Langchain and audio ...

BA/BS in Audio or Music Technology, Computer Science, Transmedia, or equivalent work experience ... Experience building AI audio pipelines using tools such as TensorFlow, PyTorch, Langchain and audio ...

BA/BS in Audio or Music Technology, Computer Science, Transmedia, or equivalent work experience ... Experience building AI audio pipelines using tools such as TensorFlow, PyTorch, Langchain and audio ...

Creative Coder

Los Angeles, CA · On-site

$132K - $181K/yr

... AI audio pipelines using tools such as TensorFlow, PyTorch, Langchain and audio processing ... music, speech synthesis, or NLP • Audio Implementation and/or design for shipping AR and VR ...

Apple has assembled a world-class Acoustics team that enables our customers to experience music ... Python, Objective-C, C++, or similar languages; or equivalent prototyping experience with tools ...

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Music Ai Audio Python information

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$23K

$140K

$202.5K

How much do music ai audio python jobs pay per year?

As of May 29, 2026, the average yearly pay for music ai audio python in the United States is $139,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $164,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Music AI Audio Python Engineer, and why are they important?

To thrive as a Music AI Audio Python Engineer, you need a strong background in computer science, digital signal processing, and music theory, typically supported by a degree in a related field. Proficiency in Python, machine learning frameworks like TensorFlow or PyTorch, and audio libraries such as librosa is essential. Creative problem-solving, strong communication, and adaptability help you collaborate with interdisciplinary teams and innovate in music technology. These skills enable the development of advanced AI-driven music applications that meet both technical and artistic requirements.

What are some common challenges faced by Music AI Audio Python developers when integrating AI models into digital audio workstations (DAWs)?

Music AI Audio Python developers often encounter challenges when integrating AI models into DAWs, such as ensuring low-latency audio processing and maintaining compatibility with various audio formats and plugin standards. Additionally, developers must optimize AI models for real-time performance while balancing computational efficiency. Collaboration with audio engineers and musicians is common, as their feedback helps refine features and improve usability. Staying updated with the latest advancements in both AI and audio technology is also crucial for success in this dynamic role.

What is a Music AI Audio Python developer?

A Music AI Audio Python developer is a software engineer or data scientist who specializes in creating tools, models, or applications that use artificial intelligence to analyze, generate, or manipulate music and audio data, primarily using the Python programming language. They work with machine learning libraries and audio processing frameworks to build applications such as music recommendation systems, audio classification tools, or AI-based music composition software. These professionals combine knowledge of music theory, digital signal processing, and AI to develop innovative solutions in the audio technology space.

What is the difference between Music Ai Audio Python vs Music Producer?

AspectMusic Ai Audio PythonMusic Producer
Required SkillsProgramming, AI, audio processingMusic theory, production, sound engineering
Work EnvironmentTech companies, studios, research labsRecording studios, production houses, live events
CertificationsPython, AI, audio engineering certificationsMusic production, sound engineering certifications
Industry UsageDeveloping AI tools for music creation and analysisCreating, mixing, and producing music tracks

Music Ai Audio Python focuses on developing AI-driven audio applications using Python, requiring programming and technical skills. In contrast, a Music Producer is involved in the creative and technical process of making music, emphasizing musical skills and industry experience. Both roles are essential in the music industry but serve different functions and skill sets.

More about Music Ai Audio Python jobs
What cities are hiring for Music Ai Audio Python jobs? Cities with the most Music Ai Audio Python job openings:
What states have the most Music Ai Audio Python jobs? States with the most job openings for Music Ai Audio Python jobs include:
What job categories do people searching Music Ai Audio Python jobs look for? The top searched job categories for Music Ai Audio Python jobs are:
Infographic showing various Music Ai Audio Python job openings in the United States as of May 2026, with employment types broken down into 30% Full Time, 69% Part Time, and 1% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $139,971 per year, or $67.3 per hour.

Vocal Audio Specialist - Freelance AI Trainer Project

Jobgether

Remote

Contractor

Posted 10 days ago


Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Vocal Audio Specialist - Freelance AI Trainer Project in Netherlands.

This role is centered on contributing high-quality vocal audio data to support the training of advanced AI audio models. You will perform structured vocal recording tasks designed to capture precise pitch, tone, and rhythm variations under controlled conditions. The work requires a strong sense of musicality, technical recording awareness, and the ability to follow highly specific audio instructions with consistency and accuracy. You will operate independently in a remote setup, ensuring each recording meets strict quality standards for clarity, stability, and repeatability. The position blends artistic vocal control with technical discipline, making it essential for improving AI systems that interpret human voice and musical nuance. This is a freelance opportunity ideal for detail-oriented professionals with a background in music performance or audio production.

Accountabilities:
  • Produce high-quality vocal recordings by executing controlled humming exercises with accurate pitch, tone, and dynamic consistency.
  • Follow precise musical and vocal instructions, including pitch intervals, tonal constraints, and rhythmic patterns.
  • Maintain strong rhythmic accuracy and repeatability when performing structured melodic and vocal tasks.
  • Apply proper recording techniques, including microphone positioning, gain control, and audio level management to ensure clean sound capture.
  • Ensure all audio submissions meet strict quality standards, free from distortion, background noise, or environmental interference.
  • Execute detailed instructions accurately and consistently across multiple takes to support structured AI training datasets.
  • Operate independently while managing time and workflow to deliver reliable and high-quality outputs.
Requirements:
  • Demonstrated musical background, including experience in singing, choir, band performance, vocal training, or music production.
  • Prior experience in voice recording, studio work, voice-over projects, or AI audio/data training projects.
  • Strong understanding of pitch control, rhythm, and vocal stability with a well-trained auditory sense.
  • Technical knowledge of audio recording fundamentals, including gain staging, microphone technique, and basic sound engineering principles.
  • Ability to follow highly detailed and structured instructions with precision and consistency.
  • Access to a quiet, controlled home recording environment suitable for professional-grade audio capture.
  • Strong attention to detail and commitment to producing clean, repeatable, and standardized audio outputs.
  • Reliable self-management skills for independent freelance work in a remote environment.
Benefits:
  • Freelance, independent contractor engagement with full remote flexibility.
  • Competitive hourly compensation ranging based on experience, expertise, and location.
  • Opportunity to contribute to cutting-edge AI audio and machine learning model development.
  • Flexible working hours based on personal availability.
  • Experience working on structured, high-precision audio training projects.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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