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Voice Assistant Jobs (NOW HIRING)

BirdEye Inc

Senior Voice AI Engineer

Palo Alto, CA · On-site

Experience building real-time AI voice assistants * Knowledge of latency optimization techniques * Understanding of conversational memory and dialogue management Speech Technologies * Experience with ...

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Voice Assistant information

What is a voice assistant?

Voice assistants are software programs or artificial intelligence systems that use voice recognition, natural language processing, and speech synthesis to assist users by performing tasks or answering queries. Examples include Amazon Alexa, Apple Siri, Google Assistant, and Microsoft Cortana. These assistants can help with a variety of tasks such as setting reminders, playing music, controlling smart home devices, searching the internet, and sending messages—all through voice commands. Their primary goal is to provide hands-free assistance and make daily tasks easier and more efficient.

What are the key skills and qualifications needed to thrive as a voice assistant developer?

To thrive as a Voice Assistant Developer, you need strong programming skills (such as Python or JavaScript), experience with natural language processing (NLP), and familiarity with voice platforms like Amazon Alexa or Google Assistant. Proficiency with cloud services, APIs, and tools like Dialogflow or Alexa Skills Kit is typically required. Creative problem-solving, effective communication, and attention to user experience are vital soft skills in this role. These competencies ensure that voice applications are functional, intuitive, and meet user expectations in a rapidly evolving field.

What are some common challenges faced by voice assistant professionals, and how can they overcome them?

Voice Assistant professionals often encounter challenges like accurately interpreting diverse accents, handling background noise, and ensuring user privacy. Addressing these requires continuous training of speech recognition models, collaborating closely with linguists and engineers, and following best practices for data security. Staying updated with advancements in natural language processing and user feedback can help professionals refine and enhance the overall user experience.

What is the difference between Voice Assistant vs Customer Service Representative?

AspectVoice AssistantCustomer Service Representative
Required CredentialsNone typically required; technical skills helpfulHigh school diploma or higher; customer service training often needed
Work EnvironmentRemote or in-office; interacts via voice or chatIn-office or call center; interacts via phone or chat
Industry UsageTechnology, AI, and consumer electronicsRetail, telecom, banking, and service sectors
Common Search/ComparisonYesYes

While both roles involve communication with users, a Voice Assistant is an AI-powered software designed to interact via voice commands, often embedded in devices or apps. A Customer Service Representative is a human employee providing support through calls or chats. The roles differ mainly in their nature—technological versus human—and their work environments, but both aim to assist users effectively.

What cities are hiring for Voice Assistant jobs?

Cities with the most Voice Assistant job openings:

What are the most commonly searched types of Voice jobs?

The most popular types of Voice jobs are:

What states have the most Voice Assistant jobs?

States with the most job openings for Voice Assistant jobs include:

What are popular job titles related to Voice Assistant jobs?

For Voice Assistant jobs, the most frequently searched job titles are:

Infographic showing various Voice Assistant job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

ML Engineer - Scalable Voice AI for Global Dictation

San Francisco, CA • On-site

Menlo Ventures
Investment Clubs and Venture Capital Companies • 11 - 50 employees
Learn more about Menlo Venturesexternal

Other

Posted 9 days ago

Job description

Location

San Francisco

Employment Type

Full time

Department

Software

About Wispr

Wispr is building Jarvis, starting with effortless voice dictation. Our mission is to make interacting with your devices as effortless as talking to a close friend. We believevoice is the most natural, powerful way to communicate — and we’re building the interfaces to make that a reality.

Our voice dictation product, Flow, solves the biggest use case for technology: letting people communicate with others and AI. Flow is the first consumer voice dictation platform that people use more than their keyboards.

We are a team of AI researchers, designers, growth experts, and engineers who step away from the status quo to rethink human-computer interaction. We like working with people who are high agency, open communicators, user obsessed, and detail oriented. We enjoy spirited debate, truth seeking, and impact. We have averaged 50% month over month growth in 2025, and have raised over $56M from Menlo Ventures, NEA, 8VC, and others.

About the Role

As a ML engineer at Wispr, you’ll play a crucial role in building the first capable, habit forming voice assistant that scales to a billion users. Members of our technical staff are responsible for prototyping and designing new features of our voice assistant, building infrastructure to handle <500ms LLM inference for millions of requests from everywhere around the world, and scaling the personalization of our speech models and LLMs with fine-tuning and RL.

What are we looking for?

  • Previous founding or startup experience

  • Experience optimizing ML inference or engineering systems for research teams

  • Fluency in Python and LLM development

  • Attention to detail and eagerness to learn

  • Aptitude and clarity of thought

  • Creativity, excellence in engineering, and code velocity

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

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