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Speech Data Collection Jobs in Virginia (NOW HIRING)

TSMG

Driver in Ashland, VA

Ashland, VA · On-site

$15.75 - $19.75/hr

We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and ...

TSMG

Driver in Chester, VA

Chester, VA · On-site

We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and ...

Noor WFS

Intercept Interviewer - DCA

Arlington, VA

$21.75 - $25.25/hr

Previous intercept, field data collection or interviewing experience preferred * High school ... Possess effective communication skills through speech and listening and fluency in English through ...

Noor WFS

Intercept Interviewer - IAD

Dulles, VA

$18.75 - $21.75/hr

Previous intercept, field data collection or interviewing experience preferred * High school ... Possess effective communication skills through speech and listening and fluency in English through ...

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How much do speech data collection jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for speech data collection in Virginia is $23.65, according to ZipRecruiter salary data. Most workers in this role earn between $20.72 and $25.96 per hour, depending on experience, location, and employer.

What is a speech data collection?

A Speech Data Collection job involves gathering and recording spoken language samples to improve speech recognition systems, virtual assistants, and AI applications. Participants may read predefined phrases, engage in conversations, or record spontaneous speech in various languages and accents. The collected data helps train and enhance machine learning models for better voice recognition and natural language processing. These jobs are often remote and may require specific demographic or linguistic criteria.

What kind of tasks can I expect to perform daily as a speech data collection specialist?

As a Speech Data Collection specialist, your daily tasks may include recording spoken phrases, transcribing audio data, annotating speech segments, and ensuring that collected data meets quality and format standards. You might collaborate with linguists, researchers, or engineers to define project needs and troubleshoot technical issues. Attention to accuracy and adherence to project guidelines are regularly emphasized, and tasks may sometimes be repetitive but require consistent concentration. This role often involves both independent work and participation in small teams, providing opportunities to learn about cutting-edge speech and language technologies.

What are the key skills and qualifications needed to thrive in the speech data collection position, and why are they important?

To thrive in Speech Data Collection, you need strong attention to detail, linguistic or phonetic knowledge, and proficiency in recording or transcribing speech data, often supported by a high school diploma or relevant coursework. Familiarity with audio recording equipment, data annotation tools, and platforms like Praat or ELAN is commonly required. Excellent communication skills, reliability, and adaptability help individuals excel in collaborating with team members and managing varied data collection tasks. These skills ensure high-quality, accurate speech datasets critical for use in fields like speech recognition and language technology development.

What are popular job titles related to Speech Data Collection jobs in Virginia?

For Speech Data Collection jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Speech Data Collection jobs in Virginia look for?

The top searched job categories for Speech Data Collection jobs in Virginia are:

Speech Data Collection jobs near you
Infographic showing various Speech Data Collection job openings in Virginia as of August 2026, with employment types broken down into 54% Full Time, 42% Part Time, and 4% Temporary. Highlights an 100% In-person job distribution, with an average salary of $49,183 per year, or $23.6 per hour.

Software Engineer, Data Infrastructure & Acquisition - Reston, VA, USA

Speechify

Reston, VA • On-site

$119K - $143K/yr

Full-time

Re-posted 22 days ago

Job description

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You'll Do

  • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
  • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
  • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
  • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.

An Ideal Candidate Should Have

  • BS/MS/PhD in Computer Science or a related field.
  • 5+ years of industry experience in software development.
  • Proficiency with bash/Python scripting in Linux environments
  • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
  • Experience with web crawlers, large-scale data processing workflows is a plus
  • Ability to handle multiple tasks and adapt to changing priorities.
  • Strong communication skills, both written and verbal.

What we offer

  • A fast-growing environment where you can help shape the company and product.
  • An entrepreneurial-minded team that supports risk, intuition, and hustle.
  • A hands-off management approach so you can focus and do your best work.
  • An opportunity to make a big impact in a transformative industry.
  • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
  • Opportunity to work on a life-changing product that millions of people use.
  • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
  • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you're a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Apply