1

Music Ai Audio Python Jobs (NOW HIRING)

Music Production Expert - Vietnamese Mercor is hiring experienced music producers and audio engineers to evaluate generative music AI models, in partnership with a leading AI lab. You will assess AI ...

Music Audio Expert This position is listed on behalf of a partner company, who manages all ... You will evaluate AI-generated lyrics, voice performances, musical outputs, and training data ...

Music Production Expert - Urdu Mercor is hiring experienced music producers and audio engineers to evaluate generative music AI models, in partnership with a leading AI lab. You will assess AI ...

Music Production Expert - Italian Mercor is hiring experienced music producers and audio engineers to evaluate generative music AI models, in partnership with a leading AI lab. You will assess AI ...

Music Production Expert - Swedish

$17.75 - $22/hr

Music Production Expert - Swedish Mercor is hiring experienced music producers and audio engineers to evaluate generative music AI models, in partnership with a leading AI lab. You will assess AI ...

Music Production Expert - Mandarin Chinese

$16.50 - $21.25/hr

Music Production Expert - Mandarin Chinese Mercor is hiring experienced music producers and audio engineers to evaluate generative music AI models, in partnership with a leading AI lab. You will ...

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 ...

$120 - $180/hr

ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. * ElevenAPI gives developers access to our leading AI audio foundational ...

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 ...

Music Production Expert - Turkish Mercor is hiring experienced music producers and audio engineers to evaluate generative music AI models, in partnership with a leading AI lab. You will assess AI ...

Head of Music

San Francisco, CA ยท On-site

$180 - $280/hr

... music, image, and video across 70+ languages ... ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is ...

Evaluate AI model output lyrics , voice generation, and other standards in various music categories. * Score the quality of musical training data to enhance model performance. * Write music in the ...

Position: Music Audio Expert - Dutch Type: Contract Compensation: $44/hour Location: Remote ... Evaluate AI model output for lyrics and voice generation across various music categories. * Score ...

About the job Mercor connects elite creative and technical talent with leading AI research labs ... Music Audio Expert - English (US) Type: Contract Compensation: $39/hour Location: Remote Duration:

Evaluate AI model output lyrics , voice generation, and other standards in various music categories. * Score the quality of musical training data to ensure high standards. * Collaborate with AI ...

next page

Showing results 1-20

Music Ai Audio Python information

See salary details

$23K

$140K

$202.5K

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

As of Aug 26, 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 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 are the key skills and qualifications needed to thrive as a Music AI Audio Python engineer?

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 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.

Can I make music with Music Ai Audio Python?

Music Ai Audio Python is a tool or framework used for creating music through artificial intelligence and Python programming. It allows users to generate, manipulate, or analyze audio and music data, often requiring knowledge of programming, machine learning, and digital audio processing. This makes it suitable for developers and musicians interested in AI-driven music production.
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:

Infographic showing various Music Ai Audio Python job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $139,971 per year, or $67.3 per hour.

Founding Music AI Engineer

David Joseph & Company

San Francisco, CA โ€ข On-site

$175K - $225K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

San Francisco, CA · On-site · Full-time
Compensation: $175K–$225K + equity

About the Company

Our client is an early-stage AI lab building foundation models in the consumer music space, with live products already in the hands of a global user base. It's a small, close-knit team pairing deep ML research talent with consumer product builders, and this is a genuine ground-floor opportunity where each early hire shapes both the product and the culture.

Founded 2024 · ~5 people · Industry: AI, Consumer, Education, EdTech

The Role

Our client is hiring a founding engineer to help build production-ready ML systems that power the next generation of music learning for a large and growing base of musicians. You'll work closely with the Head of AI, taking abstract ideas and turning them into rock-solid, shipped implementations. Prior music-AI experience is not expected — the team already has domain experts and is looking for exceptional general technical ability paired with a startup mindset.

What you'll be doing

  • Building and shipping ML models for audio and symbolic music understanding into production systems used by real musicians
  • Translating the research team's ideas into solid, working engineering implementations
  • Partnering with data, design, and product to integrate models into user-facing features
  • Curating, preprocessing, and building pipelines around large-scale music datasets
  • Contributing to model evaluation, optimization, and deployment for real-world latency and reliability

Tech stack: Python, PyTorch / JAX, large-scale ML systems

Requirements
  • Zero to four years of experience in ML engineering, infrastructure, or a comparably demanding technical role
  • Time at a company known for a high technical bar — for example, big-tech infrastructure, quant, or a fast-scaling startup
  • Strong software engineering and hands-on coding ability
  • A track record of building and training ML models, whether in production systems or through substantial hands-on projects
  • A bachelor's or master's in computer science, electrical engineering, or a closely related technical field
  • Working proficiency with modern ML frameworks such as PyTorch or JAX
  • The ability to take research concepts and turn them into robust, shippable code
  • A collaborative working style that meshes well with researchers and fellow engineers
  • Based in San Francisco (or ready to relocate) and comfortable working in person for the majority of the week
Nice to Haves
  • Prior experience at a startup or other early-stage company
  • Exposure to audio, sequence modeling, or generative model domains
  • Experience building data pipelines or working with large-scale datasets
Why Join
  • A founding engineering seat at a pre-Series A AI lab, with meaningful early-stage equity
  • The chance to work directly alongside PhD researchers and product experts on genuinely novel consumer AI
  • Real influence over both the product and the team's culture from day one
  • Competitive compensation: $175K–$225K plus significant early equity
Details
  • Location — San Francisco, CA
  • Work policy — On-site; in person the majority of the week
  • Compensation — $175K–$225K + equity
  • Visa sponsorship — Open to visa transfers (e.g. OPT, H-1B transfers)
  • Employment type — Full-time