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Ai Audio Jobs (NOW HIRING)

Senior Research Scientist

San Francisco, CA · On-site

$116K - $147K/yr

The Opportunity The Speech AI Lab at Adobe Research is seeking a Senior Audio Research Scientist to join our speech generative AI and multimodal research efforts, based in San Francisco. This role is ...

Senior Research Scientist

San Francisco, CA

$116K - $147K/yr

The Opportunity The Speech AI Lab at Adobe Research is seeking aSenior Audio Research Scientistto join ourspeech generative AI and multimodal researchefforts, based inSan Francisco. This role is ...

Dolby is looking for a talented Senior AI Researcher to join Dolby's research efforts to develop the next generation of AI based audio and video technologies. You will work with Dolby's world-class ...

Cohere is a company focused on scaling intelligence to serve humanity through advanced AI systems. The Audio Inference Engineer will work on optimizing audio inference serving efficiency and ...

$18 - $23.50/hr

ABOUT PERLE Perle is an AI infrastructure company building expert-driven training data, evaluation ... Audio ranges from clean studio recordings to natural conversational speech in real-world acoustic ...

Experience with and curiosity about AI technologies in the audio workplace. * Expert Pro Tools operator. * Extensive experience with audio post-production process and deliverables, including ...

New

Experience with and curiosity about AI technologies in the audio workplace. * Expert Pro Tools operator. * Extensive experience with audio post-production process and deliverables, including ...

New

As an Audio Engineer at Sofar, you'll bring the magic on the sound desk at local shows throughout ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

As an Audio Engineer at Sofar, you'll bring the magic on the sound desk at local shows throughout ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

As an Audio Engineer at Sofar, you'll bring the magic on the sound desk at local shows throughout ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

As an Audio Engineer at Sofar, you'll bring the magic on the sound desk at local shows throughout ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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Ai Audio information

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$29.5K

$84.5K

$171.5K

How much do ai audio jobs pay per year?

As of Jul 19, 2026, the average yearly pay for ai audio in the United States is $84,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $113,000.00 per year, depending on experience, location, and employer.

How does an AI Audio specialist typically collaborate with other teams during a project?

AI Audio specialists often work closely with product managers, software engineers, and UX designers to integrate audio solutions into products or platforms. Collaboration usually involves joint meetings to define project requirements, frequent communication to troubleshoot integration issues, and sharing feedback to refine audio models. A successful AI Audio professional is proactive in bridging technical and creative perspectives, ensuring that audio features meet user needs and technical standards. This team-oriented environment fosters learning and can open pathways to roles in project leadership or advanced technical development.

What is the difference between Ai Audio vs Voiceover Artist?

AspectAi AudioVoiceover Artist
Required CredentialsTechnical skills, AI and audio editing knowledgeVoice training, acting skills, demo reels
Work EnvironmentDigital, remote, tech-focusedRecording studios, remote, live performances
Industry UsageMedia production, AI development, tech companiesAdvertising, entertainment, media
Search & Comparison IntentTechnical, AI-driven audio solutionsCreative voice work, acting

Ai Audio involves creating audio content using artificial intelligence technology, focusing on automation and digital tools. Voiceover Artists provide human voice recordings for various media, emphasizing performance and acting skills. While Ai Audio is tech-based and automated, Voiceover Artists rely on vocal talent and creativity. Both roles are essential in media production but serve different purposes and skill sets.

Which 3 jobs will survive AI?

Audio engineers, voice actors, and audio editors are likely to continue working alongside AI, as their roles require creativity, nuanced judgment, and human expression that AI cannot fully replicate. Skills in audio production, editing software, and understanding of sound design will remain valuable. These jobs often involve tasks that benefit from human oversight and artistic input, making them more resilient to automation.

How much do AI musicians make?

AI musicians' earnings vary widely depending on their experience, the complexity of projects, and the industry. Freelance AI musicians may earn from a few hundred to several thousand dollars per project, while those working for companies or producing commercial content can earn higher salaries, often ranging from $50,000 to over $100,000 annually. Skills in music production, AI tools, and programming can influence earning potential.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as AI research directors, senior machine learning engineers, or AI executives, which offer compensation in that range including salary, bonuses, and stock options. These roles often require advanced skills in programming, data analysis, and AI frameworks, along with extensive experience and sometimes advanced degrees. Such salaries are usually found in large tech companies or specialized AI firms.

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

To thrive as an AI Audio Engineer, you need strong foundations in audio signal processing, machine learning, and computer programming, often supported by a degree in computer science, electrical engineering, or a related field. Familiarity with tools such as Python, TensorFlow or PyTorch, digital audio workstations (DAWs), and version control systems is typically required. Attention to detail, creativity, and effective collaboration are standout soft skills for this role. These skills and qualities are essential for developing innovative audio solutions and ensuring seamless integration of AI technologies in audio applications.

Can I get an AI job with no experience?

Entry-level AI audio jobs often do not require extensive experience and may accept candidates with basic knowledge of audio editing, programming, or machine learning. Developing skills in relevant tools like Python, audio processing software, and understanding AI concepts can improve chances of getting hired. Internships or certification programs can also help build necessary qualifications.

What is an AI Audio Engineer?

An AI Audio Engineer is a professional who uses artificial intelligence and machine learning technologies to develop, enhance, or analyze audio content. Their work may include creating AI-driven tools for music production, speech recognition, audio restoration, or sound synthesis. AI Audio Engineers often collaborate with software developers, musicians, and sound designers to integrate intelligent audio solutions into various applications. This field requires knowledge of audio engineering, signal processing, and programming skills.
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What states have the most Ai Audio jobs? States with the most job openings for Ai Audio jobs include:
What job categories do people searching Ai Audio jobs look for? The top searched job categories for Ai Audio jobs are:
Perceptual Audio Engineer (Research)

Perceptual Audio Engineer (Research)

HARMAN International

Remote

Full-time

Re-posted 19 days ago


Job description

Job Summary:
HARMAN International is a global leader in connected technologies and is seeking a Perceptual Audio Engineer (Research) to develop metrics and evaluation frameworks that connect algorithms to user perception. The role involves designing listening tests, creating perceptual datasets, and collaborating with cross-functional teams to ensure product quality and user satisfaction.
Responsibilities:
• Create perceptual metrics and evaluation methodologies that correlate with human preference and quality judgments (timbre, artifacts, clarity, spatial realism, comfort/fatigue).
• Design and execute subjective evaluations (ABX, preference tests, rating studies), including stimulus generation, panel guidance, statistical analysis, and repeatability.
• Where beneficial, develop ML-based quality prediction or artifact detection that supports rapid iteration (embedded-viable where relevant; cloud-viable for batch evaluation).
• Define acceptance criteria and regression tests so OneUX productization can enforce 'no perceptual regressions' in CI-style workflows.
• Build and maintain clean datasets, labeling strategies, metadata, and experiment tracking so results are trustworthy and reusable.
• Work closely with DSP, acoustics, ML, and system testing roles to ensure metrics reflect real user value and cover edge cases.
• Use AI tools to accelerate analysis and reporting while maintaining rigorous validation and traceability.
Qualifications:
Required:
• MS or PhD in EE/CS/Acoustics/Psychoacoustics/Statistics (or equivalent experience)
• 5+ years in perceptual audio, audio quality evaluation, or related applied research/engineering
• Strong understanding of psychoacoustics and statistical analysis for human-subject experiments
• Experience in using and developing perceptual models
• Python and/or MATLAB for analysis and tooling
• Familiarity working with ML frameworks and basic DSP concepts
• Experience using AI-assisted tools for data analysis, scripting, and documentation in a reproducible workflow
Preferred:
• Experience with perceptual evaluation for spatial audio, headphone tuning, or automotive cabin audio
• Experience creating objective metrics that become organizational standards and materially change decision-making speed/quality
• Familiarity with embedded deployment constraints for ML-based metrics
• Patents/publications in perceptual audio or audio quality evaluation
Company:
Headquartered in Stamford, Connecticut, HARMAN (harman.com) designs and engineers connected products and solutions for automakers, consumers, and enterprises worldwide, including connected car systems, audio and visual products, enterprise automation solutions; and services supporting the Internet of Things. Founded in 1980, the company is headquartered in Stamford, USA, with a team of 10001+ employees. The company is currently Late Stage.