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Freelance Audio Machine Learning Jobs (NOW HIRING)

Syntiant

Machine Learning Audio Intern

Redwood City, CA · On-site

Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is looking for a Machine Learning Audio Intern to take on a critical role to enhance our AI Model for Turkey ...

Syntiant

Machine Learning Audio Intern

Redwood City, CA · On-site

Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is looking for a Machine Learning Audio Intern to take on a critical role to enhance our AI Model for Turkey ...

Alignerr

Machine Learning Engineer

Denver, CO · Remote

$50 - $70/hr

Machine Learning Engineer - AI Data Trainer * Location: Remote About the job At Alignerr, we ... Freelance perks: autonomy, flexibility, and global collaboration. * Potential for contract ...

Alignerr

Machine Learning Engineer

Seattle, WA · Remote

Machine Learning Engineer (AI Data Trainer) About the Role What if your expertise in machine ... Freelance autonomy with access to meaningful, intellectually stimulating work * Build deep ...

Apex Informatics

Machine Learning Engineer

Applied Machine Learning Engineer | Music Software (Multiple Roles open) Role: Applied Machine ... audio and other unstructured data. • Collaborate with Product and Engineering teams to ensure ...

Mindrift

Freelance Machine Learning Engineer

$90/hr

Ideally, contributors will have: * 5+ years of hands-on machine learning experience with proven business impact * Portfolio of completed projects and publications showcasing real-world problem ...

Alignerr

Audio Engineer - Pro Tools

Denver, CO · Remote

Genuinely curious about AI-driven audio processing and how machine learning is reshaping sound ... Freelance autonomy with clear ownership of your work and measurable outcomes * High-impact role ...

Spotify

Machine Learning Engineer

Spotify is a leading audio streaming service known for its innovative features like Blend and Discover Weekly. They are seeking a Machine Learning Engineer to join the Personalization team, focusing ...

Hive

Machine Learning Manager

Seattle, WA

$180K - $250K/yr

Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP * 2+ years experience managing machine learning teams * You have an ability to understand and make ...

GN Group

Machine Learning Engineer - Edge

Dover, NH · On-site +1

$86K - $135K/yr

Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and ... Fundamentals of audio and speech signal processing. Pay Transparency Notice * Depending on your ...

GN Hearing

Machine Learning Engineer - Edge

Dover, NH · On-site +1

$86K - $135K/yr

Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and ... Fundamentals of audio and speech signal processing. Pay Transparency Notice * Depending on your ...

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Freelance Audio Machine Learning information

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

As of Jun 4, 2026, the average yearly pay for freelance audio machine learning in the United States is $70,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $72,500.00 per year, depending on experience, location, and employer.

What is the difference between Freelance Audio Machine Learning vs Freelance Audio Signal Processing?

AspectFreelance Audio Machine LearningFreelance Audio Signal Processing
Required SkillsMachine learning, programming, audio analysisDigital signal processing, audio engineering, software tools
Work EnvironmentData analysis, model development, algorithm designAudio editing, filtering, signal enhancement
Common EmployersTech companies, startups, research labsAudio production houses, broadcasting, music industry
CertificationsMachine learning, data science, programming certificationsAudio engineering, DSP certifications

Freelance Audio Machine Learning focuses on developing algorithms and models to analyze and interpret audio data using machine learning techniques. In contrast, Freelance Audio Signal Processing involves applying traditional digital signal processing methods to enhance or modify audio signals. Both roles require technical expertise but differ in their core methods and applications.

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What are the most commonly searched types of Audio Machine Learning jobs? The most popular types of Audio Machine Learning jobs are:
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Freelance Audio Machine Learning jobs near you

Freelance Audio Contributor - UK English

Perle

Manhattan, NY • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

About Perle Perle is a data sourcing company dedicated to building high-quality, human-generated datasets that power the next generation of AI and machine learning technologies. We work with contributors around the world to collect authentic, diverse, and linguistically rich data. About the Role We are looking for native UK English speakers to join our audio data collection project as Freelance Audio Contributors.

In this role, you will wear multiple hats: recording conversational audio, transcribing dialogue, and reviewing audio submitted by other contributors. This is a flexible, remote, project-based engagement — ideal for individuals who are detail-oriented and passionate about language. Key Responsibilities Record natural, two-speaker conversations following pre-written conversation prompts and scripts.

Keep dialogue natural and spontaneous, even when guided by a script. Ensure recordings meet technical specs: minimum 16kHz sample rate, clear audio, minimal background noise. Each file must be between 10 seconds and 1 minute in length.

Use standard headphones and microphone (studio setup is a plus but not required). 2. Transcription Accurately transcribe recorded audio dialogues into written text.

Capture speaker turns, natural speech patterns, and relevant verbal cues. Follow Perle's transcription style guide for formatting and notation. 3.

Audio Review & Quality Assurance Listen to and evaluate audio recordings submitted by other contributors. Assess recordings for naturalness, audio clarity, accent compliance, and content guidelines. Flag and report files that do not meet project specifications.

Requirements Native UK English speaker with a standard, non-heavily accented British accent. Access to a quiet recording environment and a reliable headset / microphone. Strong attention to detail and ability to follow written guidelines.

Ability to work independently and meet batch delivery deadlines. Basic computer literacy (file management, audio uploads, spreadsheet tools). Prior experience in transcription, voice work, or data annotation is a plus — but not required.

All audio data must be original and legally sourced. Contributors must comply with applicable privacy regulations (GDPR and applicable UK laws). Submitted data must not include any personally identifiable information (PII) of third parties without explicit consent.

Perle retains all intellectual property rights to collected data and associated deliverables. How to Apply If you are interested in joining the Perle contributor network, please submit your application with a brief introduction, confirmation of your regional accent, and any relevant experience in audio, transcription, or QA work. #J-18808-Ljbffr

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