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Text To Speech Jobs in Florida (NOW HIRING)

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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 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.

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 popular job titles related to Text To Speech jobs in Florida?

For Text To Speech jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Text To Speech jobs in Florida look for?

The top searched job categories for Text To Speech jobs in Florida are:

What cities in Florida are hiring for Text To Speech jobs?

Cities in Florida with the most Text To Speech job openings:

Text To Speech jobs near you
Infographic showing various Text To Speech job openings in Florida as of August 2026, with employment types broken down into 76% Full Time, 11% Temporary, and 13% Contract. Highlights an 66% In-person, and 34% Remote job distribution.

Information Technology_USA - USA_Engineer

Real Soft, Inc.

Jacksonville, FL • On-site

$49 - $67/hr

Contractor

Re-posted 21 days ago

Job description

**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
: -/hr
MSP Owner: Kelly Gosciminski
Location: Charlotte, NC - onsite
Duration: 6 months
skill id: 10817208
CCaaS Google Data Engineer
Revised JD:
4+ years of commercial software development experience.
Cloud, GKE, Cloud Run, Cloud Functions, Pub-Sub, Apigee, Big Query, Terraform, RDBMS, No SQL, Maven, GIT, Jenkins, CI/CD, Big data, Scala, Spark, Hive SQL, GCP, Google cloud storage and Big Query, ETL, Data Modeling
Python, AI/ML, Tensorflow, LLM, GenAI
Develop secure, resilient cloud infrastructure on major cloud services provider using services such as GKE, Cloud Run, Cloud Functions, Pub/Sub, Apigee, and BigQuery, implementing IAM, VPC design, encryption, multi-region high availability, and Infrastructure as Code (Terraform) to support enterprise-grade customer experience platforms.
Implement, and optimize CCaaS solutions, including ACD (Automatic Call Distribution), skills-based routing, dialer, omnichannel capabilities, and campaign management, ensuring scalable, secure, and compliant contact center operations.
Have experience in integrations and migrations leveraging CCaaS APIs and telephony capabilities, including CRM/CTI integrations, webhooks, SIP/WebRTC, security configuration, and transition from legacy contact center platforms to Cloud based solutions.
Design, develop, and maintain data pipelines/models/datasets to support CCaaS data platforms while ensuring data quality, reliability, security, and compliance.
Experience building and integrating AI/ML solutions such as Xgboost, SARIMA, Prophet, prompt engineering and TensorFlow into production systems.
Understanding model lifecycle including evaluations, hyperparameters, tuning, and ongoing monitoring, model governance, bias mitigation, and explainability.
Experience with Agile development, CI/CD, DevOps and Observability.
Hands on experience with Kafka, Relational, and/or NoSQL databases.
Understanding of data structures, algorithms, and design patterns
Looks proactively beyond the obvious for continuous improvement opportunities.
Design and implement scalable CCaaS and IVA solutions leveraging leading Cloud and enterprise conversational AI / customer service solutions including conversational IVR design, NLU/NLP modeling, intent and flow orchestration, webhook integrations, speech-to-text/text-to-speech.
Role Descriptions: 4+ years of commercial software development experience.Design and implement scalable CCaaS and IVA solutions leveraging leading Cloud and enterprise conversational AI / customer service solutions including conversational IVR design| NLU/NLP modeling| intent and flow orchestration| webhook integrations| speech-to-text/text-to-speech.Develop secure| resilient cloud infrastructure on major cloud services provider using services such as GKE| Cloud Run| Cloud Functions| Pub/Sub| Apigee| and BigQuery| implementing IAM| VPC design| encryption| multi-region high availability| and Infrastructure as Code (Terraform) to support enterprise-grade customer experience platforms.Implement| and optimize CCaaS solutions| including ACD (Automatic Call Distribution)| skills-based routing| dialer| omnichannel capabilities| and campaign management| ensuring scalable| secure| and compliant contact center operations.Have experience in integrations and migrations leveraging CCaaS APIs and telephony capabilities| including CRM/CTI integrations| webhooks| SIP/WebRTC| security configuration| and transition from legacy contact center platforms to Cloud based solutions.Design| develop| and maintain data pipelines/models/datasets to support CCaaS data platforms while ensuring data quality| reliability| security| and compliance.Experience building and integrating AI/ML solutions such as Xgboost| SARIMA| Prophet| prompt engineering and TensorFlow into production systems.Understanding model lifecycle including evaluations| hyperparameters| tuning| and ongoing monitoring| model governance| bias mitigation| and explainability.Experience with Agile development| CI/CD| DevOps and Observability.Hands on experience with Kafka| Relational| and/or NoSQL databases.Understanding of data structures| algorithms| and design patternsLooks proactively beyond the obvious for continuous improvement opportunities.
Essential Skills: 4+ years of commercial software development experience.Design and implement scalable CCaaS and IVA solutions leveraging leading Cloud and enterprise conversational AI / customer service solutions including conversational IVR design| NLU/NLP modeling| intent and flow orchestration| webhook integrations| speech-to-text/text-to-speech.Develop secure| resilient cloud infrastructure on major cloud services provider using services such as GKE| Cloud Run| Cloud Functions| Pub/Sub| Apigee| and BigQuery| implementing IAM| VPC design| encryption| multi-region high availability| and Infrastructure as Code (Terraform) to support enterprise-grade customer experience platforms.Implement| and optimize CCaaS solutions| including ACD (Automatic Call Distribution)| skills-based routing| dialer| omnichannel capabilities| and campaign management| ensuring scalable| secure| and compliant contact center operations.Have experience in integrations and migrations leveraging CCaaS APIs and telephony capabilities| including CRM/CTI integrations| webhooks| SIP/WebRTC| security configuration| and transition from legacy contact center platforms to Cloud based solutions.Design| develop| and maintain data pipelines/models/datasets to support CCaaS data platforms while ensuring data quality| reliability| security| and compliance.Experience building and integrating AI/ML solutions such as Xgboost| SARIMA| Prophet| prompt engineering and TensorFlow into production systems.Understanding model lifecycle including evaluations| hyperparameters| tuning| and ongoing monitoring| model governance| bias mitigation| and explainability.Experience with Agile development| CI/CD| DevOps and Observability.Hands on experience with Kafka| Relational| and/or NoSQL databases.Understanding of data structures| algorithms| and design patternsLooks proactively beyond the obvious for continuous improvement opportunities.
Desirable Skills:
Keyword:
Skills: Digital : Google Data Engineering
Experience Required:, Project Code :

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