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Remote Audio Production Jobs (NOW HIRING)

Audio Lead (Games)

Seattle, WA · On-site +1

$115K - $130K/yr

As Audio Lead, you will define the creative vision, technical direction, and production standards ... Comfort working in a collaborative, remote-friendly studio environment. * A proactive, solution ...

Audio Lead (Games)

Santa Monica, CA · Remote

$115K - $130K/yr

As Audio Lead, you will define the creative vision, technical direction, and production standards ... Comfort working in a collaborative, remote-friendly studio environment. * A proactive, solution ...

The Audio Inference Engineer will work on optimizing audio inference serving efficiency and advancing core audio model serving metrics while collaborating with training and serving infrastructure ...

Audio Lead (Games)

Austin, TX · Remote

$115K - $130K/yr

As Audio Lead, you will define the creative vision, technical direction, and production standards ... Comfort working in a collaborative, remote-friendly studio environment. * A proactive, solution ...

Audio Lead (Games)

Austin, TX · On-site +1

$115K - $130K/yr

As Audio Lead, you will define the creative vision, technical direction, and production standards ... Comfort working in a collaborative, remote-friendly studio environment. * A proactive, solution ...

Audio ML Engineer II

New York, NY · Remote

$160K - $210K/yr

What you'll do * Tune and optimize ML/DL models for production-scale audio deepfake detection ... Remote Fridays * Happy Hours and other local events Compensation Range: $160K - $210K

New

Solutions Engineer

San Francisco, CA · On-site +1

$120K - $190K/yr

... audio production. You will act as our "Technical Librarian" for resale data and the go-to expert ... fun doing it). Remote Work Details: While you are always welcome at our Ontario hub, your ...

Staff ML Engineer (Audio)

New York, NY · Remote

$185K - $235K/yr

Design, build, and optimize ML/DL models for production-scale audio deepfake detection, ensuring ... Remote Fridays * Happy Hours and other local events Compensation Range: $185K - $235K

Games Producer- Talent Pool

Charleston, SC · On-site +1

$116K - $117K/yr

Our industry-leading services include game development, art production, audio production, quality ... Experience managing co-development, outsourcing, or remote teams is a plus. * Passion for games and ...

Staff AI Engineer (Audio)

New York, NY · Remote

$185K - $235K/yr

Design, build, and optimize ML/DL models for production-scale audio deepfake detection, ensuring ... Remote Fridays * Happy Hours and other local events Compensation Range: $185K - $235K

New

Games Producer- Talent Pool

Fort Lauderdale, FL · Remote

$126K - $129K/yr

Our industry-leading services include game development, art production, audio production, quality ... Experience managing co-development, outsourcing, or remote teams is a plus. * Passion for games and ...

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Remote Audio Production information

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$11K

$48.3K

$126.5K

How much do remote audio production jobs pay per year?

As of Jun 10, 2026, the average yearly pay for remote audio production in the United States is $48,339.00, according to ZipRecruiter salary data. Most workers in this role earn between $26,500.00 and $61,000.00 per year, depending on experience, location, and employer.

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

To thrive in Remote Audio Production, you need a solid background in audio engineering, sound editing, and production processes, often supported by a degree or certification in audio technology or related fields. Proficiency with digital audio workstations (DAWs), plugins, remote collaboration tools, and an understanding of file formats and audio processing is essential. Strong communication, time management, and a keen ear for detail help you collaborate effectively and deliver high-quality audio on schedule. These skills ensure you can manage complex projects independently while maintaining professional standards in a remote setting.

What is a Remote Audio Production job?

A Remote Audio Production job involves recording, editing, mixing, and mastering audio content from a remote location. Professionals in this field work on podcasts, music, voiceovers, audiobooks, and other media using digital tools and collaboration platforms. They typically use software like Pro Tools, Audacity, or Adobe Audition to produce high-quality sound. Effective communication and time management are essential since projects often involve remote collaboration with clients, musicians, or voice artists.

What are common challenges faced in a Remote Audio Production role, and how can they be addressed?

One common challenge in remote audio production is maintaining clear communication and coordination with team members, clients, or talent who may be in different locations and time zones. To overcome this, it's important to set up regular check-ins, use project management and file-sharing tools, and establish clear expectations and deadlines. Another challenge can be ensuring consistent audio quality across varied remote recording environments, which can be managed with standardized processes and remote support. Building strong organizational habits and staying proactive with feedback can also greatly improve workflow and help produce professional results.

More about Remote Audio Production jobs
What cities are hiring for Remote Audio Production jobs? Cities with the most Remote Audio Production job openings:
What are the most commonly searched types of Audio Production jobs? The most popular types of Audio Production jobs are:
What states have the most Remote Audio Production jobs? States with the most job openings for Remote Audio Production jobs include:
What job categories do people searching Remote Audio Production jobs look for? The top searched job categories for Remote Audio Production jobs are:
Infographic showing various Remote Audio Production job openings in the United States as of June 2026, with employment types broken down into 60% Full Time, 15% Part Time, and 25% Contract. Highlights an 100% Remote job distribution, with an average salary of $48,339 per year, or $23.2 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

Posted 11 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