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Voice Recognition Jobs (NOW HIRING)

Prosum Inc.

Imaging System Engineer

Los Angeles, CA · On-site

$45 - $50/hr

Administer, maintain, and support enterprise clinical imaging systems (PACS, RIS, voice recognition, and related applications) * Perform system monitoring, troubleshooting, and issue resolution using ...

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Voice Recognition information

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$5

$48

$76

How much do voice recognition jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for voice recognition in the United States is $48.17, according to ZipRecruiter salary data. Most workers in this role earn between $39.18 and $60.10 per hour, depending on experience, location, and employer.

Can I do voice over work from home?

Voice recognition professionals and voice-over artists can often work from home, as the job primarily requires a quality microphone, soundproof environment, and editing skills. Many projects are completed remotely, and freelancers typically use online platforms to find work and communicate with clients.

What is a Voice Recognition job?

A Voice Recognition job typically involves developing, training, or improving speech recognition systems used in applications like virtual assistants, transcription software, and voice-controlled devices. Professionals in this field may work on machine learning models, analyze speech data, or optimize algorithms for better accuracy. Roles can range from data annotation to software engineering and AI research. The goal is to enhance how systems interpret and respond to human speech for various industries and applications.

What are the key skills and qualifications needed to thrive in the Voice Recognition position, and why are they important?

To excel in a Voice Recognition role, you need expertise in speech recognition technology, computational linguistics, and programming languages such as Python or Java, often supported by a degree in computer science or a related field. Familiarity with AI/ML frameworks, speech-to-text APIs, and tools like Kaldi or TensorFlow is typically important, along with relevant certifications. Strong analytical thinking, problem-solving, and effective communication skills help you collaborate with multidisciplinary teams and address complex challenges. These competencies are crucial for developing accurate, user-friendly voice recognition systems that meet real-world demands.

What are the typical daily responsibilities for someone working in voice recognition technology?

Professionals in voice recognition roles often spend their days developing, training, and testing algorithms to improve speech-to-text accuracy and performance. They collaborate closely with data scientists, software engineers, and UX designers to integrate voice recognition features into various applications and devices. Regular tasks may include collecting and annotating audio data, optimizing models for diverse accents and languages, and troubleshooting system errors. This hands-on work requires both technical problem-solving and teamwork to ensure seamless voice-enabled experiences for end users.

More about Voice Recognition jobs
What cities are hiring for Voice Recognition jobs? Cities with the most Voice Recognition job openings:
What are the most commonly searched types of Voice Recognition jobs? The most popular types of Voice Recognition jobs are:
What states have the most Voice Recognition jobs? States with the most job openings for Voice Recognition jobs include:
What job categories do people searching Voice Recognition jobs look for? The top searched job categories for Voice Recognition jobs are:
Voice Recognition jobs near you
Infographic showing various Voice Recognition job openings in the United States as of May 2026, with employment types broken down into 3% As Needed, 80% Full Time, and 17% Part Time. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $100,198 per year, or $48.2 per hour.

Voice AI Quality Analyst

Ova Technologies

Alpharetta, GA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Voice Ai Quality Analyst

EchoMind is seeking a Voice AI Quality Analyst to evaluate, test, and improve speech recognition and recitation accuracy across our AI-driven voice platform. The role focuses on analyzing voice inputs, validating AI responses, and enhancing user experience.

Key Responsibilities

  • Test voice recognition and recitation outputs for accuracy and clarity

  • Analyze AI responses for pronunciation, tone, and fluency

  • Log defects and inconsistencies in voice outputs

  • Work closely with AI/engineering teams to improve models

  • Validate multilingual voice data and recitation flows

  • Create quality reports and improvement recommendations

Qualifications

  • Bachelor's degree in any discipline (Language / Arts / Science preferred)

  • Strong listening and analytical skills

  • Basic understanding of AI or voice applications (training provided)

Skills Required

  • Excellent verbal comprehension

  • Attention to detail

  • Basic computer skills

  • Familiarity with audio tools is a plus

Experience

  • 0–3 years (Freshers welcome)

Apply