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Audio Post Production Remote Jobs (NOW HIRING)

Innodata Inc.

Audio Engineer

$120K - $160K/yr

Own the end-to-end audio signal chain and post-processing pipeline for all collection programs ... Specify and validate recording setups for vendors and remote contributors (signal-chain testing in ...

PlayStation Global

Sr Director, Sound Design

Deep expertise in interactive audio, post-production, and advanced authoring tools (Wwise, FMOD, or proprietary engines). * Strong understanding of multidisciplinary development workflows (animation ...

Mondo

Video Producer

Manhattan, NY · Remote

$55 - $60/hr

Knowledge of live-action production, remote production, post-production, motion graphics, and photography production. * Strong organizational, communication, stakeholder management, and problem ...

143 Studios LLC

Lead Video

Boston, MA · On-site +1

Craft visually engaging stories through intentional sequencing, color, audio, and motion graphics ... Experience maintaining post-production tools, workflows, and remote-access systems. * Solutions ...

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Audio Post Production Remote information

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$11K

$48.3K

$126.5K

How much do audio post production remote jobs pay per year?

As of Jul 13, 2026, the average yearly pay for audio post production remote 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 is audio post production in a remote work setting?

Audio post production is the process of editing, mixing, and mastering audio recordings after the initial recording session is complete. In a remote work setting, professionals use specialized software and cloud-based tools to collaborate with clients, producers, and other team members from different locations. Tasks may include cleaning up dialogue, adding sound effects, balancing audio levels, and finalizing soundtracks for film, TV, podcasts, or other media. Remote workflows often rely on file sharing platforms and real-time communication tools to ensure smooth project delivery.

What is the difference between Audio Post Production Remote vs Audio Editor?

AspectAudio Post Production RemoteAudio Editor
CredentialsAudio engineering certifications, editing experienceAudio editing skills, sometimes certifications
Work EnvironmentRemote, studio or home setupRemote or in-studio
Industry UsageFilm, TV, advertising, podcastsFilm, TV, radio, podcasts
Job FocusComplete post-production process including mixing and masteringEditing and assembling audio clips

Audio Post Production Remote involves managing the entire post-production process remotely, including mixing and mastering, while an Audio Editor primarily focuses on editing audio clips. Both roles often require similar certifications and work in similar environments, but their scope differs. Understanding these distinctions helps clarify job expectations and career paths in audio production.

What are the typical challenges faced by remote audio post production professionals, and how can they be managed?

Remote audio post production professionals often encounter challenges such as coordinating with geographically dispersed teams, maintaining high-quality audio standards without access to traditional studio environments, and managing large file transfers. To overcome these, clear communication using collaboration tools, investing in reliable home studio equipment, and utilizing secure, high-speed file sharing platforms are essential. Regular check-ins with project teams and establishing standardized workflows also help ensure consistency and timely delivery of projects.

What are the key skills and qualifications needed to thrive as an Audio Post Production Remote professional, and why are they important?

To thrive as an Audio Post Production Remote professional, you need expertise in audio editing, mixing, and sound design, often supported by a relevant degree or certification in audio engineering. Proficiency with digital audio workstations (DAWs) like Pro Tools, Adobe Audition, and familiarity with remote collaboration platforms are typically required. Attention to detail, time management, and strong communication skills help ensure seamless coordination with clients and creative teams. These competencies are crucial for delivering high-quality audio content efficiently while meeting project deadlines in a remote work environment.
More about Audio Post Production Remote jobs
What cities are hiring for Audio Post Production Remote jobs? Cities with the most Audio Post Production Remote job openings:
What are the most commonly searched types of Audio Post Production jobs? The most popular types of Audio Post Production jobs are:
What states have the most Audio Post Production Remote jobs? States with the most job openings for Audio Post Production Remote jobs include:
What job categories do people searching Audio Post Production Remote jobs look for? The top searched job categories for Audio Post Production Remote jobs are:
Audio Post Production Remote jobs near you
Infographic showing various Audio Post Production Remote job openings in the United States as of July 2026, with employment types broken down into 60% Full Time, 10% Part Time, and 30% 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)

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 13 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