ZipRecruiter

Log In

1

Ai Audio Jobs in Arizona (NOW HIRING)

YO AI Labs

Turkish Language Expert - Remote

Phoenix, AZ · Remote

$30 - $65/hr

You will evaluate Turkish audio and language content, assess linguistic quality, and provide clear feedback to help improve AI systems. No prior AI experience is required. Key Responsibilities

YO AI Labs

Russian Language Expert - Remote

Phoenix, AZ · Remote

$30 - $65/hr

In this role, you will evaluate Russian audio and language content, assess linguistic quality, and provide detailed feedback to help improve next-generation AI systems. No prior AI experience is ...

YO AI Labs

Polish Bilingual Expert

Phoenix, AZ · Remote

$30 - $67/hr

In this role, you will evaluate Polish audio content, assess linguistic quality and authenticity, and provide detailed feedback based on established evaluation guidelines. No prior AI experience is ...

YO AI Labs

English Voice Coach - Remote

Phoenix, AZ · Remote

$50 - $60/hr

Remote Job Summary We are seeking native English speakers from Ireland, Australia, and the United Kingdom to support an AI training project focused on evaluating English audio recordings. You will ...

next page

Showing results 1-20

All JobsAi Audio JobsAi Audio Jobs in Arizona

Ai Audio information

What is an AI audio engineer?

An AI Audio Engineer is a professional who uses artificial intelligence and machine learning technologies to develop, enhance, or analyze audio content. Their work may include creating AI-driven tools for music production, speech recognition, audio restoration, or sound synthesis. AI Audio Engineers often collaborate with software developers, musicians, and sound designers to integrate intelligent audio solutions into various applications. This field requires knowledge of audio engineering, signal processing, and programming skills.

What are the key skills and qualifications needed to thrive as an AI audio engineer?

To thrive as an AI Audio Engineer, you need strong foundations in audio signal processing, machine learning, and computer programming, often supported by a degree in computer science, electrical engineering, or a related field. Familiarity with tools such as Python, TensorFlow or PyTorch, digital audio workstations (DAWs), and version control systems is typically required. Attention to detail, creativity, and effective collaboration are standout soft skills for this role. These skills and qualities are essential for developing innovative audio solutions and ensuring seamless integration of AI technologies in audio applications.

How does an AI audio specialist typically collaborate with other teams during a project?

AI Audio specialists often work closely with product managers, software engineers, and UX designers to integrate audio solutions into products or platforms. Collaboration usually involves joint meetings to define project requirements, frequent communication to troubleshoot integration issues, and sharing feedback to refine audio models. A successful AI Audio professional is proactive in bridging technical and creative perspectives, ensuring that audio features meet user needs and technical standards. This team-oriented environment fosters learning and can open pathways to roles in project leadership or advanced technical development.

What is the difference between Ai Audio vs Voiceover Artist?

AspectAi AudioVoiceover Artist
Required CredentialsTechnical skills, AI and audio editing knowledgeVoice training, acting skills, demo reels
Work EnvironmentDigital, remote, tech-focusedRecording studios, remote, live performances
Industry UsageMedia production, AI development, tech companiesAdvertising, entertainment, media
Search & Comparison IntentTechnical, AI-driven audio solutionsCreative voice work, acting

Ai Audio involves creating audio content using artificial intelligence technology, focusing on automation and digital tools. Voiceover Artists provide human voice recordings for various media, emphasizing performance and acting skills. While Ai Audio is tech-based and automated, Voiceover Artists rely on vocal talent and creativity. Both roles are essential in media production but serve different purposes and skill sets.

What are popular job titles related to Ai Audio jobs in Arizona?

For Ai Audio jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Ai Audio jobs in Arizona look for?

The top searched job categories for Ai Audio jobs in Arizona are:

What cities in Arizona are hiring for Ai Audio jobs?

Cities in Arizona with the most Ai Audio job openings:

Ai Audio jobs near you
Infographic showing various Ai Audio job openings in Arizona as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, 2% Temporary, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Turkish Bilingual Expert - Remote

YO AI Labs

Phoenix, AZ • Remote

$30 - $65/hr

Full-time

Posted 4 days ago

Job description

Turkish Bilingual Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking Turkish Bilingual Experts to support a language and AI training project. You will evaluate Turkish audio and language content, assess linguistic quality, and provide clear feedback to help improve AI systems. No prior AI experience is required.

Key Responsibilities
  • Evaluate Turkish audio for nativeness, fluency, pronunciation, and intonation.
  • Assess linguistic authenticity and identify language-related issues.
  • Provide clear and concise feedback in English.
  • Justify evaluations with accurate linguistic observations.
  • Collaborate with project coordinators to resolve content or guideline ambiguities.
  • Provide insights to improve Turkish language understanding and generation.
  • Complete assigned audio review tasks accurately and on time.
Required Skills
  • Native-level Turkish proficiency
  • English proficiency at B2+ level
  • Strong written and verbal communication
  • Excellent attention to detail
  • Ability to identify and explain subtle linguistic differences
Preferred Qualifications
  • Background in linguistics, phonetics, voice, audio engineering, media, communications, or teaching
  • Experience with audio analysis, transcription, or linguistic evaluation
  • Familiarity with language quality assessment or AI-related projects