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Audio Production Instructor Jobs in California (NOW HIRING)

Navi AI

ML/AI Founding Engineer

San Francisco, CA · On-site

... to cockpit audio, identify maneuvers, attribute instructor vs. student behavior, and generate ... Your models are already in production. This isn't research - it's AI that flies. What you'll do

NOCCCD

Journalism Instructor Pool-Part-Time

Anaheim, CA

$1.5K - $1.7K/wk

... photography, audio and video production skills, and produce multimedia projects following the ... Instructors will get access to the Adobe Creative Suite and Fullerton College library resources, as ...

Gavilan College

Multimedia Technician

Gilroy, CA · On-site

$31.39 - $38.92/hr

Performs video and audio digital capturing and editing; duplicates audio and visual tapes and ... Video field production. * Full range of audiovisual and media production equipment. * Technology ...

Gavilan College

Multimedia Technician

Gilroy, CA · On-site

$31.39 - $38.92/hr

... audio, video and television presentations; to design and install systems; and to perform related ... Associate of Arts degree or Technical Certificate in media production or a related field, plus ...

Navi AI

Founding Hardware Engineer

San Francisco, CA · On-site

$145K - $192K/yr

You own the entire physical product - from bare-metal architecture through PCB design, ruggedized ... A dropped audio frame is a missed instructor callout. A connectivity gap is a blind spot in the ...

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Showing results 21-40

All JobsAudio Production Instructor JobsAudio Production Instructor Jobs in California

Audio Production Instructor information

See California salary details

$60.7K

$63.6K

$66.1K

How much do audio production instructor jobs pay per year?

As of Aug 12, 2026, the average yearly pay for audio production instructor in California is $63,644.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,700.00 and $63,700.00 per year, depending on experience, location, and employer.

What are some common challenges audio production instructors face when teaching students with varying levels of technical experience?

Audio Production Instructors often encounter classes with students who have a wide range of technical backgrounds, from complete beginners to those with advanced skills. Balancing lesson plans to ensure that all students are engaged and supported can be challenging. Instructors typically address this by offering differentiated instruction, hands-on practice, and personalized feedback. They also foster a collaborative environment where students can learn from each other, encouraging peer mentoring and group projects to bridge knowledge gaps.

What are the key skills and qualifications needed to thrive as an audio production instructor, and why are they important?

To thrive as an Audio Production Instructor, you need expertise in audio engineering, music production, and teaching, typically backed by a degree in audio production or related field and prior industry or teaching experience. Familiarity with digital audio workstations (DAWs) like Pro Tools, Logic Pro, and Ableton Live, as well as certification in these platforms, is often required. Strong communication, patience, and the ability to inspire and mentor students are essential soft skills. These competencies ensure that students receive high-quality, practical instruction that prepares them for success in the audio industry.

What does an audio production instructor do?

An Audio Production Instructor teaches students the skills and knowledge needed to record, edit, mix, and produce audio content for various media. They design curriculum, demonstrate audio equipment and software, and provide hands-on training in studios or classrooms. Instructors also mentor students on industry standards and often help them build portfolios for careers in music, broadcasting, film, or podcasting.

What is the difference between Audio Production Instructor vs Audio Engineer?

AspectAudio Production InstructorAudio Engineer
CredentialsTypically requires a degree in audio production, education experience, and industry certificationsRequires a degree or diploma in audio engineering or related field, with industry certifications preferred
Work EnvironmentEducational settings, recording studios, workshops, online platformsRecording studios, live sound venues, broadcasting stations, post-production facilities
Primary FocusTeaching audio production techniques, curriculum development, mentoring studentsRecording, mixing, editing, and mastering audio for various media
Employer & Industry UsageEducational institutions, training centers, colleges, universitiesMusic, film, television, radio, live events, post-production companies

While both roles involve audio skills, an Audio Production Instructor focuses on teaching and curriculum development within educational settings, whereas an Audio Engineer applies technical skills in recording and mixing audio in professional environments. The roles often overlap in skills but differ in primary responsibilities and work environments.

What are popular job titles related to Audio Production Instructor jobs in California? For Audio Production Instructor jobs in California, the most frequently searched job titles are:
What job categories do people searching Audio Production Instructor jobs in California look for? The top searched job categories for Audio Production Instructor jobs in California are:
What cities in California are hiring for Audio Production Instructor jobs? Cities in California with the most Audio Production Instructor job openings:
What are popular job titles related to Audio Production Instructor jobs in CA? For Audio Production Instructor jobs in CA, the most frequently searched job titles are:
Audio Production Instructor jobs near you
Infographic showing various Audio Production Instructor job openings in California as of August 2026, with employment types broken down into 49% Full Time, 48% Part Time, and 3% Temporary. Highlights an 100% In-person job distribution, with an average salary of $63,644 per year, or $30.6 per hour.

ML/AI Founding Engineer

Navi AI

San Francisco, CA • On-site

Full-time

Re-posted 7 days ago

Job description

Navi captures everything a pilot sees and hears and turns it into automated debrief intelligence. You're building the AI that makes sense of it all - the models that listen to cockpit audio, identify maneuvers, attribute instructor vs. student behavior, and generate debrief reports that match what a seasoned CFI would catch.
About the role
This is a founding AI/ML role. You'll own the intelligence layer that sits at the core of everything Navi does - from audio diarization and speech recognition to maneuver detection, safety event classification, and automated debrief generation. The data is messy, multimodal, and high-stakes. Cockpit audio is mono with overlapping speakers. Avionics telemetry arrives in dozens of formats. ATC comms bleed into crew conversation. Your job is to make machines understand all of it - and get it right, because the output goes directly to pilots, instructors, and military operators.
Navi is live at Embry-Riddle, Purdue, UND, Sling Pilot Academy, and the United States Air Force. Your models are already in production. This isn't research - it's AI that flies.
What you'll do
  • Build and improve the ML systems that power Navi's automated flight debrief - maneuver detection, performance scoring, safety event identification
  • Develop and refine audio intelligence pipelines - speaker diarization, speech-to-text, cockpit audio separation, ATC communication extraction
  • Design the AI reasoning layer that synthesizes avionics data, audio, and ADS-B into coherent sortie narratives
  • Build evaluation frameworks and feedback loops that continuously improve model accuracy against real-world CFI assessments
  • Work directly with pilots and instructors to ground-truth model outputs and close the gap between what the AI sees and what actually happened in the aircraft
  • Push the boundary on what's possible with LLMs in safety-critical, domain-specific applications
About you
  • 5+ years of professional experience in machine learning, AI, or applied research - with production systems, not just papers
  • Deep expertise in at least one of: NLP/speech processing, audio ML, time-series analysis, or multimodal reasoning
  • Experience building and deploying ML pipelines end to end - data ingestion, model training, evaluation, inference, and monitoring in production
  • Strong engineering fundamentals - you can build the infrastructure your models need, not just the models
  • You've worked with messy, real-world data and know how to build systems that are robust to noise, edge cases, and domain drift
  • Experience with LLMs - fine-tuning, prompt engineering, retrieval-augmented generation, or building LLM-powered applications
  • You ship. You don't wait for a perfect dataset or a clean abstraction. You build, evaluate, iterate, and improve
  • Comfortable operating with high autonomy in a fast-moving environment where the problem definition evolves weekly
Nice to have
  • Familiarity with aviation systems, flight training operations, or defense technology environments
  • Experience with audio diarization, speaker separation, or cockpit/radio audio processing
  • Background in safety-critical ML systems where model accuracy has real-world consequences
Why this role matters
FOQA sees a perfect steep turn. Navi sees a disaster. The difference is the intelligence layer you're building - the AI that hears the instructor take the controls two seconds before a G-load exceedance, that knows the student was coached through an approach instead of flying it solo, that catches what the numbers alone will never tell you. This is the system the aviation industry has never had. You're building it.
What you'll get
  • Early-stage equity - real ownership in a category-defining company
  • Flight training - earn your pilot's license and build with true domain expertise
  • Impact you can see - your work will be used by pilots, flight schools, airlines, and the U.S. Air Force
  • A role that scales into technical leadership as we grow
How we work
  • Find a way. We don't wait for permission or perfect information. Ideas come from anywhere regardless of title. Figure it out, ship it, iterate.
  • Creativity over control. First principles over process. We'd rather have a creative solution that's 80% right today than a perfect one next quarter.
  • Update fast. Come in with a hypothesis, throw it away when the data says otherwise. Ego has no place here.
  • Intensity with focus. We work hard because the mission demands it. Clarity on what matters is how we make that sustainable.

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