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Audio Visual Engineer Remote Jobs in California (NOW HIRING)

YO AI Labs

English Voice Coach - Remote

Palo Alto, CA · Remote

$50 - $60/hr

Contract Location: Remote Job Summary We are seeking native English speakers from Ireland ... Background in music, audio engineering, or sound production . * Experience in linguistics ...

Visual Concepts

Graphics Engineer

Novato, CA · On-site +1

$120K - $154K/yr

At Visual Concepts, we believe great games are made by diverse and empowered teams with a shared ... is a fully remote role that may be based anywhere in the United States. Below are the expected ...

YO AI Labs

English Voice Coach - Remote

San Jose, CA · Remote

$50 - $60/hr

Contract Location: Remote Job Summary We are seeking native English speakers from Ireland ... Background in music, audio engineering, or sound production . * Experience in linguistics ...

YO AI Labs

Turkish Bilingual Expert - Remote

San Jose, CA · Remote

$30 - $65/hr

Remote Job Overview We are seeking Turkish Bilingual Experts to support a language and AI training ... Background in linguistics, phonetics, voice, audio engineering, media, communications, or teaching

YO AI Labs

Turkish Bilingual Expert - Remote

Palo Alto, CA · Remote

$30 - $65/hr

Remote Job Overview We are seeking Turkish Bilingual Experts to support a language and AI training ... Background in linguistics, phonetics, voice, audio engineering, media, communications, or teaching

YO AI Labs

Turkish Language Expert - Remote

Palo Alto, CA · Remote

$30 - $65/hr

Remote Job Overview We are seeking Turkish Bilingual Experts to support a language and AI training ... Background in linguistics, phonetics, voice, audio engineering, media, communications, or teaching

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All JobsAudio Visual Engineer JobsAudio Visual Engineer Remote JobsAudio Visual Engineer Remote Jobs in California

Audio Visual Engineer Remote information

What is an audio visual engineer?

Audio Visual Engineers are professionals who design, install, and maintain audio and video systems for various settings such as offices, conference rooms, event spaces, and virtual environments. In a remote role, they often support clients or teams with troubleshooting, configuring AV equipment, and ensuring smooth operation during virtual meetings or live streams. Their work combines technical expertise in electronics and IT with problem-solving skills to deliver high-quality audiovisual experiences.

What are the key skills and qualifications needed to thrive as an audio visual engineer remote?

To thrive as an Audio Visual Engineer (Remote), you need expertise in AV systems integration, troubleshooting, and a background in electronics or a related field, often supported by certifications like CTS. Familiarity with tools such as Crestron, Extron, AV-over-IP systems, and remote management platforms is typically required. Strong problem-solving, communication, and time management skills help you collaborate effectively and resolve technical issues remotely. These skills ensure seamless AV experiences, minimize downtime, and maintain high client satisfaction in distributed work environments.

What are some common challenges faced by remote audio visual engineers and how can they be addressed?

Remote Audio Visual Engineers often face challenges such as troubleshooting technical issues without physical access to equipment, coordinating with on-site teams across different time zones, and ensuring seamless communication during virtual events. To address these, successful engineers leverage remote management tools, maintain clear documentation, and establish strong lines of communication with local technicians. Proactive planning, thorough testing, and building strong relationships with team members can help minimize disruptions and ensure successful AV project delivery.

What is the difference between Audio Visual Engineer Remote vs Audio Visual Technician?

AspectAudio Visual Engineer RemoteAudio Visual Technician
CredentialsTypically requires a bachelor's degree in audio-visual technology, engineering, or related fieldOften requires technical certifications or associate degrees in AV technology
Work EnvironmentPrimarily remote, involving virtual collaboration and remote troubleshootingOn-site at event venues, corporate offices, or installation sites
Industry UsageUsed in corporate, entertainment, and conference industries for planning and designInvolved in setup, operation, and maintenance of AV equipment during events

While both roles involve AV technology, Audio Visual Engineer Remote focuses on planning, design, and remote support, whereas Audio Visual Technician is more hands-on with equipment setup and operation on-site.

What are the most commonly searched types of Audio Visual Engineer jobs in California?

The most popular types of Audio Visual Engineer jobs in California are:

What are popular job titles related to Audio Visual Engineer Remote jobs in California?

For Audio Visual Engineer Remote jobs in California, the most frequently searched job titles are:

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

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

What cities in California are hiring for Audio Visual Engineer Remote jobs?

Cities in California with the most Audio Visual Engineer Remote job openings:

Audio Visual Engineer Remote jobs near you
Infographic showing various Audio Visual Engineer Remote job openings in California as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

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 4 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