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Remote Audio Engineer Jobs in California (NOW HIRING)

Sonance

Sales Engineer, Professional

San Clemente, CA · On-site +1

San Clemente, CA or Remote Description The US Sales Engineer for Professional Solutions will have a deep expertise in technical sales in the professional audio/video market. This individual will be ...

Iyuno

Recording Engineer

Burbank, CA · Remote

$28 - $33/hr

... outs, audio glitches, distortions, sync problems, missing lines and all the other errors spotted) * Problemsolveany software or technical errors that may arise in remote recording * Work with ...

NWN Carousel

VC Solution Architect (California)

Exeter, CA · Remote

$65 - $85.50/hr

... in Sales/Solution Engineer experience in Audio Video with the the last few years Required ... Remote employees are expected to maintain productivity, communication, and availability during ...

Magnite

Engineer II, Backend APIs

Los Angeles, CA · On-site +1

$125K - $135K/yr

... F remote, T/W/TH in-office) West Coast - Remote At Magnite, we cultivate an environment of ... audio. Our tech fuels billions of transactions per day! About this team: Magnite's Reporting ...

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Remote Audio Engineer information

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$29.1K

$83.3K

$169.3K

How much do remote audio engineer jobs pay per year?

As of Jul 4, 2026, the average yearly pay for remote audio engineer in California is $83,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,300.00 and $111,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Audio Engineer position, and why are they important?

To thrive as a Remote Audio Engineer, you need expertise in audio recording, editing, mixing, and mastering, typically backed by a relevant degree or significant industry experience. Proficiency with digital audio workstations (such as Pro Tools, Ableton Live, or Logic Pro), remote collaboration platforms, and high-quality audio equipment is essential. Excellent communication, self-motivation, and strong time management skills distinguish top performers in this remote setting. These abilities ensure high-quality audio production, meet client expectations, and facilitate effective teamwork despite working from different locations.

What is a Remote Audio Engineer job?

A Remote Audio Engineer is responsible for recording, editing, mixing, and mastering audio from a remote location using digital tools and software. They work on projects such as music production, podcasts, voiceovers, and film audio without needing to be physically present in a studio. This role requires expertise in audio software like Pro Tools, Logic Pro, or Ableton Live, as well as strong communication skills to collaborate with clients and teams online. Many Remote Audio Engineers work as freelancers or for companies that offer virtual production services.

What are typical daily responsibilities for a Remote Audio Engineer and how do they coordinate with other team members remotely?

A Remote Audio Engineer's day often involves tasks such as recording and editing audio tracks, mixing sessions, troubleshooting technical issues, and ensuring deliverables meet project specifications. Communication and collaboration are managed through digital platforms, including shared cloud storage, video conferencing, and project management tools, allowing seamless coordination with producers, artists, and other engineers. Regular check-ins, detailed documentation, and clearly defined workflows help maintain alignment and keep projects on schedule. Working remotely requires heightened responsiveness and adaptability, as you may need to adjust to different time zones or last-minute creative feedback.

What are the most commonly searched types of Audio Engineer jobs in California? The most popular types of Audio Engineer jobs in California are:
What are popular job titles related to Remote Audio Engineer jobs in California? For Remote Audio Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Audio Engineer jobs in California look for? The top searched job categories for Remote Audio Engineer jobs in California are:
What cities in California are hiring for Remote Audio Engineer jobs? Cities in California with the most Remote Audio Engineer job openings:
Remote Audio Engineer jobs near you
Infographic showing various Remote Audio Engineer job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $83,350 per year, or $40.1 per hour.
Member of Technical Staff - Post Training, Applied (Audio)

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

Liquid AI, Inc

San Francisco, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 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

Apply