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Text To Speech Jobs (NOW HIRING)

Ursus, Inc.

Language Specialist - Speech AI

Responsibilities : • Build speech training and evaluation data sets for Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) systems • Develop WFST and Neural Networks-based Text ...

DEEPREC.AI

ML Researcher, Speech

San Francisco, CA · On-site

$200K - $250K/yr

You'll work across the core building blocks of that roadmap, such as: speech-to-text, text-to-speech, neural audio codecs, and getting LLMs to understand and reason over audio directly. You'll take ...

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Text To Speech information

What is a text to speech job?

A Text To Speech (TTS) job typically involves converting written text into spoken audio using specialized software or AI technology. Professionals in this field may work on developing, fine-tuning, or implementing TTS systems for various applications, such as virtual assistants, accessibility tools, or audiobooks. The role can also include tasks like voice data collection, script editing, and quality assurance of generated speech. TTS jobs are important for making digital content more accessible to people with visual impairments or reading difficulties. The field combines elements of linguistics, software engineering, and artificial intelligence.

What are some common challenges faced by professionals working in text to speech development roles?

Professionals in Text to Speech development often encounter challenges such as fine-tuning synthetic voices to sound natural and expressive, handling diverse accents or languages, and optimizing algorithms for various platforms. Collaboration with linguists, UX designers, and software engineers is frequent, as ensuring accessibility and seamless integration across applications is a top priority. Staying updated on advances in AI and deep learning is essential, as the field evolves rapidly and demands continuous improvement in both technical and creative aspects.

What is the difference between Text To Speech vs Voice Actor?

AspectText To SpeechVoice Actor
Required CredentialsNone or basic audio editing skillsVoice training, acting skills, often professional demos
Work EnvironmentSoftware, digital platforms, remoteRecording studios, on-location, remote
Industry UsageAutomation, AI, tech companiesMedia, entertainment, advertising
Search & Comparison IntentAutomated voice solutions, TTS technologyVoice acting, narration, character voices

Text To Speech involves using software to convert written text into spoken words, primarily for automation and digital applications. Voice Actors, on the other hand, provide human voice recordings for media, entertainment, and advertising. While TTS is tech-driven and often used in AI and accessibility tools, Voice Actors bring emotional nuance and personality to their performances. Both roles are essential in their respective industries, but they differ significantly in skills, environment, and purpose.

What are the key skills and qualifications needed to thrive as a text to speech engineer?

To thrive as a Text to Speech Engineer, you need a strong background in computer science, linguistics, and digital signal processing, often supported by a relevant degree. Experience with machine learning frameworks, speech synthesis toolkits (like Tacotron or WaveNet), and programming languages such as Python or C++ is typically required. Creativity, analytical thinking, and cross-functional communication skills help you collaborate with diverse teams and innovate in voice technology. These skills ensure the development of accurate, natural-sounding speech systems that meet user and client needs.
More about Text To Speech jobs
What cities are hiring for Text To Speech jobs? Cities with the most Text To Speech job openings:
What states have the most Text To Speech jobs? States with the most job openings for Text To Speech jobs include:
What job categories do people searching Text To Speech jobs look for? The top searched job categories for Text To Speech jobs are:
Text To Speech jobs near you
Infographic showing various Text To Speech job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, 19% Part Time, and 14% Contract. Highlights an 90% In-person, and 10% Remote job distribution.

Deep Learning Scientist, Speech Synthesis

Catapult Solutions Group

Santa Clara, CA • On-site, Remote

Contractor

Re-posted 16 days ago

Job description

Deep Learning Scientist - Speech Synthesis
Update on 07/22/26:
No PHD is need just focus on seeking candidates with deep, hands-on expertise in Text-to-Speech (TTS), including experience developing and working with modern SOTA architectures and models. It is essential that their TTS background reflects work with the latest technologies and innovations in speech synthesis, demonstrating current industry knowledge and practical implementation experience.
Update as of 07/21/26: Hi,
We are specifically seeking candidates with deep, hands-on expertise in Text-to-Speech (TTS), including experience developing and working with modern SOTA architectures and models. It is essential that their TTS background reflects work with the latest technologies and innovations in speech synthesis, demonstrating current industry knowledge and practical implementation experience.
Thank you!
Location: 100% Remote (Anywhere in the U.S.)
Duration: 6-Month Contract
Position Overview
We are seeking a Deep Learning Scientist - Speech Synthesis to support the development of next-generation speech AI technologies. This role focuses on training and optimizing speech models, improving model performance, and solving complex machine learning challenges related to speech applications.
The ideal candidate has strong experience in speech synthesis (Text-to-Speech) or Speech-to-Text, deep learning, and Python development. Success in this role requires the ability to analyze model behavior, diagnose training issues, and improve model performance-not just collect or evaluate data.
Key Responsibilities
  • Train and optimize speech synthesis models, including mel spectrogram and vocoder models.
  • Analyze training metrics, validation losses, and model performance to identify root causes of model issues and recommend improvements.
  • Benchmark and optimize speech models across multiple use cases.
  • Improve speech data preparation, augmentation, filtering, and dataset quality.
  • Develop and refine high-quality training datasets for speech AI models.
  • Measure and characterize model accuracy, quality, and bias.
  • Collaborate with cross-functional teams to develop and deliver new speech AI features.
  • Participate in software development, design reviews, testing, and code reviews.
  • Troubleshoot technical issues and contribute to continuous model improvements.
Required Qualifications
  • Master's degree or Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, Applied Mathematics, Linguistics, Computational Linguistics, or a related field (or equivalent experience).
  • 3+ years of relevant industry experience.
  • Strong Python programming skills.
  • Strong understanding of machine learning and deep learning concepts.
  • Experience with Text-to-Speech (TTS), Speech Synthesis, or Speech-to-Text (STT) technologies.
  • Hands-on experience training deep learning models using PyTorch.
  • Ability to analyze training behavior, validation losses, and model performance to troubleshoot and improve machine learning models.
  • Knowledge of speech signal processing concepts, including FFT, MFCC, and mel spectrograms.
  • Strong understanding of software development fundamentals.
  • Experience using version control systems such as Git, Gerrit, or GitLab.
  • Excellent communication and collaboration skills.
Preferred Qualifications
  • Experience with deep learning architectures such as CNNs, RNNs, LSTMs, and Transformers.
  • Experience with voice cloning or multilingual speech systems.
  • Knowledge of text normalization (TN), inverse text normalization (ITN), or grapheme-to-phoneme (G2P) systems.
  • Fluency in one or more languages such as Spanish, Mandarin, German, Japanese, Russian, French, Arabic, Hindi, Korean, Italian, or Portuguese.
  • Interest in linguistics, phonetics, and speech technologies.
  • Strong C++ programming skills.
  • Familiarity with GPU technologies such as CUDA, cuDNN, or TensorRT.
  • Experience deploying machine learning models to cloud, data center, or embedded environments.
What We're Looking For
The ideal candidate is someone who enjoys solving difficult machine learning problems and has hands-on experience training speech models. Beyond building models, we're looking for someone who can investigate why a model is underperforming, analyze validation losses, identify root causes, and improve overall model quality and performance.
Additional Information
  • 100% remote position within the United States.
  • No specific U.S. time zone requirement.
  • This is a contract opportunity.
  • Opportunity to contribute to cutting-edge speech AI and deep learning technologies.

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