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Work Study Audio Engineer Jobs in Raleigh, NC (NOW HIRING)

CTL Engineering

Sr. Roadway Design Engineer

Raleigh, NC · On-site

$101K - $139K/yr

... A/V system design, troubleshooting & installation, transportation design (bridge/roadway) , and ... Ability to work independently and as part of a team. * Strong attention to detail and commitment to ...

CTL Engineering

Sr. Roadway Design Engineer

Raleigh, NC · On-site

$101K - $139K/yr

... A/V system design, troubleshooting & installation, transportation design (bridge/roadway) , and ... Ability to work independently and as part of a team. * Strong attention to detail and commitment to ...

AGBO

Principal Gameplay Engineer

Raleigh, NC · On-site

They are seeking a Principal Gameplay Engineer to work within their Interactive team, focusing on ... AGBO creates intellectual property universes spanning film, TV, audio, and interactive experiences.

NEWCOMB & BOYD LLP

Plumbing Engineer I [Hybrid]

Raleigh, NC · Hybrid

$73K - $91K/yr

... acoustics, audio-visual, communications, building automation, theatre systems, security, and ... Our portfolio comprises work across many market sectors, including aviation, civic & cultural ...

Signalscape, Inc

Cyber Engineer

Cary, NC · On-site

... including audio, video, and data transmission systems for mission-critical applications. Our ... candidates work experience, education/training, key skills as well as market and business ...

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All JobsWork Study Audio Engineer JobsWork Study Audio Engineer Jobs in Raleigh, NC

Work Study Audio Engineer information

See Raleigh, NC salary details

$28.7K

$82.1K

$166.7K

How much do work study audio engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for work study audio engineer in Raleigh, NC is $82,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,600.00 and $109,800.00 per year, depending on experience, location, and employer.

What is a work study audio engineer?

A Work Study Audio Engineer is typically a student employed through a school's work-study program to assist with audio production tasks. Their responsibilities may include setting up audio equipment, recording events, managing sound during live performances, and supporting faculty or staff with technical audio needs. This role provides valuable hands-on experience with professional audio equipment and software, helping students develop practical skills for careers in sound engineering or related fields. The position usually offers flexible hours to accommodate academic schedules.

What are the key skills and qualifications needed to thrive as a work study audio engineer?

To thrive as a Work Study Audio Engineer, you need a foundational understanding of audio production, acoustics, and basic recording techniques, often supported by coursework or hands-on experience. Familiarity with digital audio workstations (DAWs) like Pro Tools or Logic Pro, as well as audio interfaces and mixing consoles, is typically required. Attention to detail, problem-solving, and effective communication are crucial soft skills for collaborating with team members and meeting project requirements. These skills and qualities ensure high-quality sound production, efficient workflow, and a successful learning experience in an academic or studio setting.

What are some common challenges a work study audio engineer might face when balancing academic responsibilities with studio assignments?

Work Study Audio Engineers often juggle academic commitments alongside their studio responsibilities, making time management a key challenge. Balancing class schedules, homework, and tight recording session deadlines requires strong organizational skills and clear communication with both faculty and studio supervisors. Additionally, adapting to rapidly changing production needs and troubleshooting technical issues under time constraints are common in this role. However, this environment provides valuable real-world experience and can improve multitasking abilities, making it a great stepping stone for future careers in audio engineering.

What is the difference between Work Study Audio Engineer vs Audio Technician?

AspectWork Study Audio EngineerAudio Technician
CredentialsRelevant audio or engineering certifications, sometimes student or entry-levelTechnical certifications or experience in audio equipment
Work EnvironmentEducational institutions, campus media, or university projectsLive events, recording studios, broadcast facilities
Employer & IndustryUniversities, colleges, educational programsMedia companies, production houses, live event companies

Work Study Audio Engineers typically work in educational settings, assisting with audio tasks as part of their academic program, often with entry-level certifications. Audio Technicians work in professional environments like studios or live events, focusing on technical setup and operation. While both roles involve audio skills, their work environments and employer types differ significantly.

What are the most commonly searched types of Audio Engineer jobs in Raleigh, NC?

The most popular types of Audio Engineer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Work Study Audio Engineer jobs?

Cities near Raleigh, NC with the most Work Study Audio Engineer job openings:

Work Study Audio Engineer jobs near you

Senior Software Engineer Applied AI

Advanced Monitored Caregiving Inc.

Raleigh, NC • On-site

$150 - $210/hr

Other

Re-posted 9 days ago

Job description

Senior Software Engineer: Applied AI (Voice Agents & ML Systems) The pitch

We build and operate production AI voice agents that hold real phone conversations in a regulated healthcare setting, plus the machine learning and LLM pipelines around them. This is one seat that spans four disciplines that rarely come together: real‑time systems, LLM engineering, traditional machine learning, and serious cloud infrastructure, all in production, all with real consequences. If you are the kind of engineer who gets restless doing one thing, this role is the opposite problem.

What you’ll work across
  • Streaming, low‑latency speech‑to‑speech systems built on modern LLMs
  • Telephony and real‑time media (call control, live audio streaming)
  • Audio handling and the quirks of real human conversation (interruptions, timing, noise)
  • Concurrency on a latency‑sensitive path, where p99 matters and a stall is something a caller hears
  • Wrapping nondeterministic models in deterministic control so they behave reliably in production
  • Multi‑model pipelines, prompt design, and cost/latency budgeting
  • Evaluation harnesses, including LLM‑as‑judge and automated agent‑tests‑agent approaches
  • Agentic tooling that gives AI systems safe, structured access to infrastructure
Traditional (non‑LLM) machine learning
  • End‑to‑end ML pipelines: feature engineering, model training, and scheduled inference
  • Imbalanced, messy real‑world data; calibration and explainability for non‑technical consumers
  • Turning research notebooks into reproducible, auditable production pipelines
Cloud and infrastructure
  • Infrastructure as code across multiple environments (we run on AWS)
  • Managed compute, data, streaming, and orchestration services
  • Security engineering in a regulated setting: encryption, least‑privilege access, strict data‑handling discipline
  • Observability and telemetry‑driven debugging, tracing a production issue from a metric anomaly to root cause
Plus

Occasional full‑stack work on internal tools, and an engineering workflow that leans heavily on AI coding assistants, with human accountability for every change.

What you’ll actually do
  • Ship and debug code on a live, real‑time voice pipeline where latency and correctness are user‑facing
  • Design control systems around LLMs: guardrails, budgets, watchdogs, safe fallbacks
  • Build and operate LLM evaluation and batch‑analysis pipelines
  • Own traditional ML workflows from data to scheduled production inference
  • Trace production issues from a metric anomaly to root cause, including building the evidence when the cause is a vendor
Must‑haves
  • 7+ years building and operating production backend systems, with strong general‑purpose programming skills (we work primarily in Python)
  • Experience running distributed systems in the cloud; comfortable debugging from telemetry to root cause
  • Hands‑on production experience with LLMs or generative AI (any provider or framework), plus the judgment to know when not to use a model
  • Working fluency across the traditional machine learning lifecycle (you productionize; you do not need to publish)
  • Disciplined in a regulated environment: small, reviewable changes and careful handling of sensitive data
Nice‑to‑haves
  • Real‑time media or telephony experience
  • Front‑end / full‑stack ability
  • ML pipeline experience, vector search, or embeddings
  • Fluency with AI coding assistants (our workflows assume them, with human accountability for every change)
How we work

Smallest correct change wins. Every behavior change is validated against the live system. Evidence over opinion in debugging. Code review is rigorous. Safety and privacy gate everything.

This role is open only to US citizens and lawful permanent residents (Green Card holders). We cannot consider candidates who require visa sponsorship now or in the future, and we are unable to make exceptions of any kind.

How to apply
  • Your LinkedIn profile URL
  • A phone number where we can reach you

A resume is welcome but optional; the two items above are required.

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