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Voice Recognition Jobs (NOW HIRING)

Gastroenterology Physician

New Orleans, LA · On-site

$384K/yr

Epic w/ voice recognition software. Endoscopy reporting: Provation - Support: Other GI Physicians, Endoscopy support staff RNs, techs and Anesthesia sedation support - Require: BC/BE, Active LA or ...

Ensuring that Interactive Voice Response systems are functioning correctly, including accurate navigation, voice recognition, and call routing. AWS Integration Testing: Verifying that the contact ...

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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 Jul 1, 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.

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:
Infographic showing various Voice Recognition job openings in the United States as of June 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $100,198 per year, or $48.2 per hour.

Physician - Radiology-Diagnostic/Mammography

AMKY Physician Services LLC

Murrieta, CA • On-site

Other

Posted 14 days ago


Job description

About the job Physician - Radiology-Diagnostic/Mammography
Hello,
Hope you are doing well!
Medical Facilities are looking for Physician - Radiology-Diagnostic/Mammography Murrieta, CA
JOB DESCRIPTION:
SUBMISSION REQUIREMENTS
Must have the following:

  • MQSA certification
  • DEA
  • Active CA license
  • Board Certified or Board Eligible
  • CERTIFICATION REQUIREMENTS
  • Board Certified
  • Board Eligible
  • DEA
STATE LICENSE REQUIREMENTS
  • California
ADDITIONAL LICENSE REQUIREMENTS
  • MQSA Required

ABOUT THE FACILITY
Beds: 120
Daily DX Volume: 140
Daily Mammo Volume: 10
% Of modality split: 10% Mammo, 90% DX
EMR: Epic
Voice Recognition and PACS: Powerscribe
Avg # of cases per RAD per day: 50
Average time to credential: 45-60 days