2

Remote Audio Editor Jobs in California (NOW HIRING)

Senior Attorney Editor

Los Angeles, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Attorney Editor, Legal Commentary Editorial Thomson Reuters is seeking a Senior Attorney Editor to contribute to our highly respected Witkin Library and Rutter Group Practice Guides . In this ...

Senior Attorney Editor

Hollywood, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Attorney Editor, Legal Commentary Editorial Thomson Reuters is seeking a Senior Attorney Editor to contribute to our highly respected Witkin Library and Rutter Group Practice Guides . In this ...

Litigation Project Manager

Los Angeles, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

TextMap, Trial Director, or video/audio editing software. WORKING CONDITIONS * This role operates within a standard business environment and is eligible for remote work, subject to firm policies and ...

Litigation Project Manager

Los Angeles, CA · On-site +1

$130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

TextMap, Trial Director, or video/audio editing software. WORKING CONDITIONS * This role operates within a standard business environment and is eligible for remote work, subject to firm policies and ...

Lead Data Scientist, Product

San Francisco, CA · On-site +1

$200K - $250K/yr

  • Medical

  • Retirement

  • PTO

... audio - an editing tool built for the age of AI. We are a team of 150 and the backing of some of ... We're hiring for a mix of remote roles and hybrid roles. For those who are remote, we have a ...

Product Manager, API & Platform

San Francisco, CA · On-site +1

$171K - $235K/yr

  • Medical

  • Retirement

  • PTO

... Remote When applying, please put the word "analog" as the first word in your cover letter ... audio - an editing tool built for the age of AI. We are a team of 150 and the backing of some of ...

Product Manager, API & Platform

San Francisco, CA · On-site +1

$235K/yr

  • Medical

  • Retirement

  • PTO

... Remote When applying, please put the word "analog" as the first word in your cover letter ... for video and audio -- an editing tool built for the age of AI. We are a team of 150 and the ...

Marketing Design Lead

Los Angeles, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Location:100% Remote. We hire anywhere in the U.S. Position We're seeking an exceptional creative ... Premier, Resolve, or other video editing workflows are important * Motion graphics skills in After ...

Content Strategist

San Francisco, CA · On-site +1

$130K - $165K/yr

  • Medical

  • Retirement

  • PTO

... audio - an editing tool built for the age of AI. We are a team of 150 and the backing of some of ... We're hiring for a mix of remote roles and hybrid roles. For those who are remote, we have a ...

LOCATION Remote - This role operates remotely in California, with required travel to disc golf ... Expert-level editing skills in Adobe Premiere Pro; After Effects proficiency required for motion ...

... audio/lighting direction, and post-production editing/delivery to be posted by our clients across every social platform. The Videographer is expected to coordinate with senior management and take ...

Showing results 41-60

Remote Audio Editor information

See California salary details

$35K

$63.2K

$105.6K

How much do remote audio editor jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote audio editor in California is $63,193.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,300.00 and $71,600.00 per year, depending on experience, location, and employer.

What is a remote audio editor?

A Remote Audio Editor is responsible for editing and enhancing audio content such as podcasts, music, videos, and voice recordings while working from a remote location. They use digital audio workstations (DAWs) and software tools to clean up sound quality, remove background noise, adjust volume levels, and add effects. This role requires strong technical skills, attention to detail, and familiarity with audio production techniques. Remote Audio Editors often collaborate with content creators, musicians, or production teams to ensure high-quality sound output.

What is a typical workday like for a remote audio editor?

A typical day for a Remote Audio Editor involves reviewing raw audio files, editing for clarity, removing background noise, and enhancing overall sound quality using industry-standard software. Editors frequently communicate with clients, producers, or podcast hosts to ensure project requirements and creative visions are met. Deadlines are common, so effective time management is crucial, and you may juggle multiple projects at once. Collaboration often happens via digital channels, requiring self-motivation and strong organizational skills.

What are the key skills and qualifications needed to thrive as a remote audio editor?

To thrive as a Remote Audio Editor, you need a strong command of audio editing principles, attention to detail, and experience with audio editing software such as Adobe Audition, Pro Tools, or Audacity. Familiarity with industry-standard file formats, digital audio workstations (DAWs), and basic sound engineering concepts is typically required. Excellent communication, time management, and the ability to work independently are standout soft skills in this virtual environment. These abilities ensure high-quality audio production, meet project deadlines, and facilitate smooth collaboration within distributed teams.

What job categories do people searching Remote Audio Editor jobs in California look for?

The top searched job categories for Remote Audio Editor jobs in California are:

What cities in California are hiring for Remote Audio Editor jobs?

Cities in California with the most Remote Audio Editor job openings:

Infographic showing various Remote Audio Editor job openings in California as of August 2026, with employment types broken down into 25% Full Time, and 75% Part Time. Highlights an 100% Remote job distribution, with an average salary of $63,193 per year, or $30.4 per hour.

Member of Technical Staff - Post Training, Applied (Audio)

Liquid AI, Inc

San Francisco, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago


Job description

About Liquid AI
Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there.
The Opportunity
LFM2.5-Audio is Liquid's end-to-end multimodal speech and text language model. At 1.5B parameters, it handles speech-to-speech conversation, ASR, and TTS without requiring separate components, making it uniquely suited for real-time, on-device deployment.
We're now bringing this model to enterprise customers. The core challenge: teaching audio models to understand user intents and translate them into structured tool calls. Think voice-driven function calling, where a spoken request triggers the right API, extracts the right parameters, and confirms back to the user in natural speech.
This role sits at the intersection of frontier audio models and real-world deployment. You'll own the applied post-training work that adapts LFM2.5-Audio for customer use cases end-to-end, from data generation through delivery. Unlike most roles that force a trade-off between customer impact and foundational work, this one gives you both: deep ownership over how audio models are adapted, evaluated, and shipped, and a direct line into the evolution of Liquid's post-training and audio stacks.
If you care about data quality, evaluation, and making models actually work in production, this is a chance to shape how applied audio AI is done at a foundation model company.
What We're Looking For
We need someone who:
  • Takes ownership: Owns customer post-training projects end-to-end for audio workloads, from requirements through delivery and evaluation.
  • Thinks end-to-end: Can reason across audio data pipelines, speech-text alignment, model adaptation, and evaluation as a connected system.
  • Is pragmatic: Optimizes for model quality and customer outcomes over publications or theory.
  • Thrives under constraints: On-device, low-latency, memory-limited audio systems excite you. You see constraints as design parameters, not blockers.

The Work
  • Act as the technical owner for enterprise audio post-training engagements.
  • Translate customer requirements into concrete post-training specifications and workflows for LFM2.5-Audio and future audio models.
  • Design and build function calling capabilities for audio models: training models to map spoken user intents to structured tool calls (API invocations, parameter extraction, confirmation flows).
  • Design and execute data generation pipelines for speech-to-speech and text-to-text training, including synthetic dialogue, function calling examples, and intent-action pairs.
  • Run supervised fine-tuning, preference alignment, and reinforcement learning workflows on audio language models.
  • Design task-specific evaluations for audio function calling (intent recognition accuracy, parameter extraction, end-to-end task completion) and feed learnings back into core post-training pipelines.

Desired Experience
Must-have:
  • Hands-on experience with post-training for language models (SFT, preference alignment, and/or RL).
  • Experience with data generation and evaluation pipelines for LLM or audio model training.
  • Strong intuition for data quality and evaluation design.
  • Familiarity with function calling, tool use, or structured output training for language models.

Nice-to-have:
  • Experience with speech or audio language models (speech-to-speech, ASR, TTS, or multimodal audio-text systems).
  • Prior exposure to customer-facing or applied ML delivery environments.
  • Experience with alignment or RL techniques beyond basic supervised fine-tuning.
  • Familiarity with on-device or low-latency inference constraints.

What Success Looks Like (Year One)
  • Independently owns and delivers enterprise audio post-training projects with minimal oversight.
  • Has built and shipped function calling capabilities that reliably translate spoken user intents into tool calls for production use cases.
  • Is trusted by customers as the technical owner, demonstrating strong judgment and delivery quality.
  • Has made durable contributions to Liquid's general-purpose post-training and audio pipelines by feeding applied learnings back into baseline model development.

What We Offer
  • Real ML work: You will fine-tune audio and speech models, build audio data pipelines, and ship solutions to enterprise customers under real-time on-device constraints.
  • Compensation: Competitive base salary with equity in a unicorn-stage company
  • Health: We pay 100% of medical, dental, and vision premiums for employees and dependents
  • Financial: 401(k) matching up to 4% of base pay
  • Time Off: Unlimited PTO plus company-wide Refill Days throughout the year