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Voice Assistant Jobs in Texas (NOW HIRING)

ClifyX

IVR Routing Project Manager

Dallas, TX · On-site

Required : • 2+ years' work experience in voice user interface design for IVR, consumer products, Conversational Agents or Voice Assistant (Siri, Alexa, Google Assistant). • Knowledgeable ...

Dataman Ltd

Call Center Services Representative 3

Irving, TX · On-site

$15.25 - $19.25/hr

... voice assistants, and robotic process automation (RPA) solutions. *) Utilization of case-management or ticketing systems in a high-volume support environment. *) Advanced Microsoft Office skills ...

Biz Voice Boost

Personal Assistant

Houston, TX · On-site

$40K - $45K/yr

As a Personal Assistant , you will provide administrative and organizational support to ensure the efficient management of daily operations. This role requires excellent communication, strong ...

TradeSTAR

Level I Voice/Data Technician

Wilmer, TX · On-site

Level I Voice/Data Technician Wilmer, TX Wilmer and the surrounding South Dallas area continue to ... Dress, organize, and secure cable according to project requirements * Assist with terminating data ...

OmniForce

Cisco Voice Administrator

Houston, TX

Utilize AI-powered tools and interfaces to assist with research, troubleshooting, documentation ... Cisco Voice Administrator Qualifications Associate degree, technical certification, trade school ...

Catch Vibe Voice

Retail Sales

San Antonio, TX

Company Description At Catch Vibe Voice, we are committed to delivering exceptional customer ... Welcome and assist customers in a professional and friendly manner. * Understand customer needs and ...

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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 are the most commonly searched types of Voice jobs in Texas?

The most popular types of Voice jobs in Texas are:

Infographic showing various Voice Assistant job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 19% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

Senior Machine Learning Engineer, Voice Assistant

Austin, TX • On-site

Roku
Manufacturing • 1 - 5K employees
Learn more about Rokuexternal

Full-time

Re-posted 4 days ago

Key responsibilities

  • Design and develop software and algorithms for Roku's entertainment assistant.

  • Create software components for high-availability and high-performance cloud solutions.

  • Take end-to-end responsibility from developing a proof of concept to deploying in production.

Job description

About the Team

The Roku Voice team is responsible for Roku's Voice product, which is used by millions of Roku users. We allow our users to easily and effortlessly control their TV, find content to stream, and more, all through the power of their voice. We deliver this engaging and delightful experience to our users through state-of-the-art technologies and platforms.


About the Role 

Roku's Entertainment Assistant team is looking for ambitious, experienced machine learning engineers with a background in one or more of the following areas: artificial intelligence, natural language understanding, machine learning, automated speech recognition, conversational systems, and building large-scale production systems. You have a once-in-a-lifetime opportunity to contribute to building the very core of Roku's Entertainment Assistant and be part of a world-class team.

How will I use AI at Roku? 

At Roku, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We're looking for curious, adaptable builders who can show how they've used AI or automation to move faster, raise the bar, and scale their impact. 
We value your AI skills if you have built fluency across the agentic engineering toolchain - coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you.  

What You'll Be Doing
  • Design and develop software and algorithms for Roku's state-of-the-art entertainment assistant
  • Design and develop software components for high-availability and high-performance cloud solutions
  • End-to-end responsibility from developing a proof of concept to production
  • Have a strong programming background with a lot of hands-on experience in building large-scale production systems
  • Strong algorithmic background and like intellectual challenges and solving complex problems
  • Working across teams and pulling in the best talent from the organization to achieve your goals
  • Contribute with new ideas and evaluate multiple solutions with your peers before settling down on specific solutions
  • You are self-driven, willing, and able to take complete ownership of initiatives and make pragmatic technical decisions 

We're Excited If You Have
  • 5+ years of industry experience (or advanced degree with 3+ years) applying ML/AI to NLU or related domain
  • Experience working with big data systems (Spark, EMR, S3, Airflow) and programming languages (Java or Python, or C++)
  • Good understanding of machine learning fundamentals like regression, classification, ranking, neural networks, and sequence models for text/speech
  • Hands-on experience in building challenging production systems
  • Strong CS fundamentals, with the ability to write algorithms with ease
  • Familiarity and experience deploying and maintaining machine learning models (transformer-based models in production is a plus), including identifying the right KPIs and objective functions
  • Experience with advanced machine learning techniques, including LLM and generative AI
  • Experience building in-production NLU and/or ASR systems
  • Bachelor's Degree preferred

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