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Assistant Voice Research Task Jobs (NOW HIRING)

Decagon

Staff Research Engineer, Voice + Speech

New York, NY · On-site

$200K - $400K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Role As a Voice Research Engineer, you'll lead the development of the models and ... task completion * Build and iterate on end-to-end models and pipelines that optimize for quality ...

Decagon

Senior Research Engineer, Voice + Speech

New York, NY · On-site

$200K - $400K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Role As a Voice Research Engineer, you'll lead the development of the models and ... task completion * Build and iterate on end-to-end models and pipelines that optimize for quality ...

NCSU

Research Assistant

Raleigh, NC

$16.75 - $23.25/hr

This position will assist with research tasks related to monitoring roadways for safety and operations, as well as modeling roadway networks and processing and analyzing data. Additional tasks may be ...

Pavago

Virtual Assistant

$21.75 - $29.25/hr

SharePoint Research & Task Execution * Conduct online research: * Competitors * Vendors * Market insights * Turn research into: * Structured summaries * Presentations * Support ad hoc and project ...

Crox Consulting Inc

Copywriter/Content

Chicago, IL · On-site

Understand CNA's voice and style guide, and uphold our brand standards across all marketing assets * Conduct thorough research to understand target audiences, industry trends, and competitive ...

Virginia Tech

Research Assistant

Blacksburg, VA · On-site

$17 - $23.25/hr

Research Assistant Apply now Back to search results Job no: 535375 Work type: Staff Senior ... Michael Halassa, the lab uses controlled behavioral tasks alongside physiological, genetic, and ...

Synergis

Cisco Collaboration Voice Engineer

Atlanta, GA · On-site

$55 - $60/hr

Resolve Cisco UC Manager 14.x problems through research, installation and customization, network ... task efforts. * Document engineering standards and proposals or recommendations for voice or ...

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Assistant Voice Research Task information

What is an assistant voice research task?

Assistant Voice Research Tasks involve collecting, analyzing, and improving voice data to enhance the performance of voice assistants like Siri, Alexa, or Google Assistant. People in these roles may transcribe voice recordings, annotate speech data, evaluate the quality of voice responses, or test new voice recognition features. The goal is to help make voice assistants more accurate, natural, and helpful for users by identifying errors or areas for improvement. These tasks are typically carried out by researchers, linguists, or specialized annotators working for technology companies.

What are the key skills and qualifications needed to thrive as a voice assistant researcher, and why are they important?

To thrive as a Voice Assistant Researcher, you need expertise in computational linguistics, machine learning, natural language processing (NLP), and usually a degree in computer science, linguistics, or a related field. Familiarity with programming languages like Python, tools such as TensorFlow or PyTorch, and experience with speech recognition systems are typically required. Strong analytical thinking, creativity, and effective collaboration skills help you innovate and work well within multidisciplinary research teams. These competencies are crucial for developing accurate, user-friendly voice technologies that meet evolving user needs.

What are some common challenges faced by professionals working in assistant voice research tasks, and how can they be addressed?

Professionals in Assistant Voice Research often encounter challenges such as ensuring high-quality voice recognition across diverse accents, dialects, and noisy environments. They may also need to handle large datasets and continually update models to improve accuracy and user experience. Collaborating closely with linguists, data scientists, and software engineers is crucial, as is staying current with advancements in AI and natural language processing. Addressing these challenges involves ongoing testing, user feedback collection, and leveraging cutting-edge research to refine voice assistant capabilities.

What is the difference between Assistant Voice Research Task vs Voice Data Annotator?

AspectAssistant Voice Research TaskVoice Data Annotator
Required CredentialsBasic understanding of linguistics, speech technologyNone or minimal; training provided
Work EnvironmentResearch labs, tech companies, remoteData labeling centers, remote or onsite
Employer & IndustryTech companies, AI development, speech recognitionData annotation firms, AI companies
Common Search & ComparisonYesYes

The Assistant Voice Research Task involves supporting speech research with a focus on linguistic and technical understanding, often in a research or development setting. Voice Data Annotators primarily focus on labeling and preparing audio data for machine learning models. While both roles support speech technology, the Assistant Voice Research Task typically requires some foundational knowledge, whereas Voice Data Annotators usually need minimal prior experience.

What cities are hiring for Assistant Voice Research Task jobs?

Cities with the most Assistant Voice Research Task job openings:

What are the most commonly searched types of Voice Research Task jobs?

The most popular types of Voice Research Task jobs are:

What states have the most Assistant Voice Research Task jobs?

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

Assistant Voice Research Task jobs near you

Staff Research Engineer, Voice + Speech

Decagon

New York, NY • On-site

$200K - $400K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago

Job description

About Decagon
Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.
Our technology enables industry-defining enterprises like Avis Budget Group, Block's Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.
We're building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We're proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.
We're an in-office company, driven by a shared commitment to excellence and velocity. Our values - Just Get It Done, Invent What Customers Want, Winner's Mindset, and The Polymath Principle - shape how we work and grow as a team.
About the Team
Read more about the research team's work here: https://decagon.ai/blog/introducing-decagon-labs
The Research team develops the model and decision-making stack that powers Decagon's conversational agents for enterprise support. We research, adapt, and implement state-of-the-art techniques in model training, prompting, orchestration, and evaluation in order to make our agents more accurate, robust, and efficient in real-world deployments.
Our goal is to push the frontier of applied conversational AI: agents that reliably understand nuanced intent, track long context, and take the right actions under uncertainty. We measure success the way customers feel it: higher resolution rates, better user satisfaction, and consistent behavior at scale.
About the Role
As a Voice Research Engineer, you'll lead the development of the models and algorithms that power Decagon's industry-leading, real-time voice agents, and drive them all the way into production. You'll own multi-quarter initiatives that advance speech understanding, naturalness, turn-taking, and resilience in real-world conditions. You'll design and implement frontier approaches for training, evaluation, and orchestration across the voice agent.
We're looking for strong engineers who want to build the core models and algorithms behind our AI agents. People here own their work end-to-end, ship real improvements, and are trusted to make high-impact technical decisions.
In this role, you will
  • Lead research and engineering efforts to improve core conversational capabilities in production, including instruction following, retrieval, memory, and long-horizon task completion
  • Build and iterate on end-to-end models and pipelines that optimize for quality, efficiency, and user experience
  • Partner with platform and product engineers to integrate new models into production systems
  • Break down ambiguous research ideas into clear, iterative milestones and roadmaps.
  • Mentor other researchers/engineers, set technical direction, and establish best practices for applied research and engineering

Your background looks something like this
  • 10+ years of experience in AI/ML engineering or research.
  • Prior experience post-training and deploying LLMs in production environments.
  • Fluency in Python and modern ML tooling (training, evaluation, data pipelines)
  • Track record of taking research ideas from prototype → reliable, measurable production impact
  • Ability to define a roadmap, break ambiguity into milestones, and lead cross-functional execution

Compensation
$200K - $400K + Offers Equity
Benefits
We proudly offer the following benefits for our full-time employees:
  • Medical, Dental, and Vision benefits for you and your family
  • Life Insurance and Disability Benefits
  • Retirement Plan (e.g., 401K, pension)
  • Parental Leave
  • Fertility and family building benefits through Carrot
  • Monthly stipend to support your wellness, lifestyle, and work-life balance
  • Daily lunches and snacks in the office to keep you at your best
  • Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)

These benefits are described in more detail in Decagon's policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.

Apply