ZipRecruiter

Log In

1

Ai Voice Jobs in Raleigh, NC (NOW HIRING)

Speechify

Go-to-Market - Durham, NC, USA

Durham, NC · On-site

$150K - $200K/yr

About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We don't just hand customers a product and wish ...

Speechify

Go-to-Market - Raleigh, NC, USA

Raleigh, NC · On-site

$150K - $200K/yr

About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We don't just hand customers a product and wish ...

Speechify

Go-to-Market - Durham, NC, USA

Durham, NC · On-site

$150K - $200K/yr

About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We don't just hand customers a product and wish ...

Speechify

Go-to-Market - Raleigh, NC, USA

Raleigh, NC · On-site

$150K - $200K/yr

About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We don't just hand customers a product and wish ...

Bandwidth

Software Engineer (Voice)

Raleigh, NC

  • Medical

  • Dental

  • Vision

  • PTO

The voice, messaging, and emergency services infrastructure behind the brands and apps you use ... And as communications shifts to AI, we're the infrastructure layer making it possible. We call ...

Bandwidth

Software Engineer (Voice)

Raleigh, NC

The voice, messaging, and emergency services infrastructure behind the brands and apps you use ... And as communications shifts to AI, we're the infrastructure layer making it possible. We call ...

Bandwidth

Software Engineer (Voice)

Raleigh, NC · On-site

  • Medical

  • Dental

  • Vision

  • PTO

The voice, messaging, and emergency services infrastructure behind the brands and apps you use ... And as communications shifts to AI, we're the infrastructure layer making it possible. We call ...

Aditi Consulting

Electrical Engineer

Clayton, NC · On-site

$45 - $48/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Use of AI Technology: By submitting your application for this position and providing your email address(es) and/or phone number(s), you consent to receive text (SMS), email, and/or voice ...

Aditi Consulting

Electrical Engineer

Clayton, NC · On-site

$45 - $48/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Use of AI Technology: By submitting your application for this position and providing your email address(es) and/or phone number(s), you consent to receive text (SMS), email, and/or voice ...

Bandwidth

Director, Strategic AI Partnerships

Raleigh, NC · On-site

  • Medical

  • Dental

  • Vision

  • PTO

The voice, messaging, and emergency services infrastructure behind the brands and apps you use ... And as communications shifts to AI, we're the infrastructure layer making it possible. We call ...

Bandwidth

Director, Strategic AI Partnerships

Raleigh, NC · Remote

  • Medical

  • Dental

  • Vision

  • PTO

The voice, messaging, and emergency services infrastructure behind the brands and apps you use ... And as communications shifts to AI, we're the infrastructure layer making it possible. We call ...

Steer

Partner Manager

Raleigh, NC · Remote

Act as the primary operational lead for marketing, loyalty, AI voice, and coaching partners--overseeing onboarding, issue resolution, and joint execution. * Enable Internal Teams: Ensure Sales and ...

next page

Showing results 1-20

All JobsAi Voice JobsAi Voice Jobs in Raleigh, NC

Ai Voice information

See Raleigh, NC salary details

$5

$46

$74

How much do ai voice jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for ai voice in Raleigh, NC is $46.83, according to ZipRecruiter salary data. Most workers in this role earn between $38.08 and $58.41 per hour, depending on experience, location, and employer.

What is an AI Voice?

An AI Voice job involves creating, training, and optimizing artificial intelligence-generated voices for applications such as virtual assistants, audiobooks, customer service, and entertainment. Professionals in this field may work on voice cloning, text-to-speech synthesis, or refining AI speech models for natural and expressive communication. Roles can include voice actors providing training data, engineers developing speech synthesis models, or product managers overseeing AI voice integration.

What are typical career advancement opportunities for an AI Voice specialist?

AI Voice specialists often begin as voice synthesis engineers or speech technology analysts and can progress to senior roles such as Lead AI Voice Engineer, Machine Learning Architect, or Product Manager for voice-enabled technologies. Advancement usually involves taking on larger, more complex projects, mentoring junior team members, or moving into strategic planning and management. Many organizations also offer opportunities to specialize further in areas such as conversational AI, voice biometrics, or multi-lingual speech processing. With demand for voice technology steadily increasing, professionals in this field often enjoy strong upward mobility and the chance to work on cutting-edge innovations.

What are the key skills and qualifications needed to thrive in the AI Voice position, and why are they important?

To thrive as an AI Voice specialist, you need expertise in speech synthesis, machine learning, and linguistics, typically supported by a background in computer science or related fields. Familiarity with tools such as Python, TensorFlow, natural language processing libraries, and experience with cloud-based platforms is highly valuable. Strong problem-solving, creativity, and collaboration skills help individuals excel in cross-functional teams. These skills are crucial for developing high-quality, natural-sounding AI voice applications that meet user expectations and business requirements.

What are the most commonly searched types of Ai Voice jobs in Raleigh, NC? The most popular types of Ai Voice jobs in Raleigh, NC are:
What are popular job titles related to Ai Voice jobs in Raleigh, NC? For Ai Voice jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Ai Voice jobs in Raleigh, NC look for? The top searched job categories for Ai Voice jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Ai Voice jobs? Cities near Raleigh, NC with the most Ai Voice job openings:
Ai Voice jobs near you
Infographic showing various Ai Voice job openings in Raleigh, NC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $97,401 per year, or $46.8 per hour.

Senior Software Engineer Applied AI

Advanced Monitored Caregiving Inc.

Raleigh, NC • On-site

$150 - $210/hr

Other

Posted 29 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.

#J-18808-Ljbffr

Apply