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Ai Training Audio Jobs (NOW HIRING)

Perle AI

Freelance Audio Contributor - US English

... AI builds the foundational training data that powers the world's most advanced AI models. We ... You'll record conversational audio from provided scripts, feeding directly into the training loops ...

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As of Sep 11, 2026, the average hourly pay for ai training audio in the United States is $42.21, according to ZipRecruiter salary data. Most workers in this role earn between $27.88 and $53.85 per hour, depending on experience, location, and employer.
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Infographic showing various Ai Training Audio job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $87,800 per year, or $42.2 per hour.

Research Engineer - Audio & Speech Models

San Francisco, CA • On-site

Zyphra
See more jobs at Zyphraexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago

Job description

Zyphra is an artificial intelligence company based in San Francisco, California. The Role:

As a Research Engineer - Audio & Speech Models, you will be a core contributor on Zyphra’s Audio Team, building the next generation of open-source autoencoders, ASR, TTS, SSL, and speech-to-speech models. You will be deeply involved in the entire model training process, from data gathering and processing to designing novel architectures and training methodologies.

You’ll Work Across:

  • Large-scale audio training runs

  • Performance optimization of our training stack

  • Audio dataset collection, processing, and evaluation

  • Architecture and training methodology ablations and improvements

What We're Looking For / Requirements:

  • Strong research taste and intuition. The ability to work through a research project from conception to execution to write-up.

  • Strong implementation and prototyping ability (can take an idea from conception to experimentation quickly)

  • The ability to work well with others in a high-paced research setting

  • Excellent communication and collaboration skills, and can work effectively on both research and engineering implementation at scale

Qualifications / Additional Skills:

  • Expertise and intuition for training models in the audio domain, including text-to-speech, ASR, speech-to-speech, speech-emotion-recognition, or other models

  • Experience in training audio autoencoders

  • Understanding of signal processing, especially of audio signals

  • Experience with diffusion models, consistency models, or GANs

  • Experience with training on large-scale (multi-node) GPU clusters

  • Strong grasp of proper experimental methodology for running rigorous ablations and other hypothesis testing

  • Understanding of and interest in large-scale, highly parallel data processing pipelines

  • Proficiency with PyTorch and Python

  • Experience contributing to large pre-existing codebases and rapidly getting up to speed

  • Previously published machine learning research in well-respected venues

  • Postgraduate degree in a scientific subject (Computer Science, EE/EECS, Mathematics, Physics, Machine Learning)

Why Work at Zyphra:

  • Our research methodology is grounded in methodical, step-by-step approaches to ambitious goals. Both deep research and engineering excellence are equally valued

  • We strongly value new and crazy ideas and are very willing to bet big on new ideas

  • We move as quickly as we can; we aim to minimize the bar to impact as low as possible

  • We all enjoy what we do and love discussing AI

Benefits and Perks:

  • Comprehensive medical, dental, vision, and FSA plans

  • Competitive compensation and 401(k) plan

  • Relocation and immigration support on a case-by-case basis

  • In-office snacks and meals provided

  • Unlimited PTO and company holidays

  • In-person team in San Francisco with a collaborative, high-energy environment