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Entry Level Speech Recognition Engineer Jobs (NOW HIRING)

Ova Technologies

Voice AI Quality Analyst

... and improve speech recognition and recitation accuracy across our AI-driven voice platform. The ... Work closely with AI/engineering teams to improve models * Validate multilingual voice data and ...

Cantina

Machine Learning Engineer, Ops

$125K - $165K/yr

... Speech Recognition (ASR). You will be responsible for designing and deploying high-performance ... Proficiency in software engineering principles and experience with Python or Go for infrastructure ...

Otter.ai

Machine Learning Engineer

Mountain View, CA · On-site

As a Machine Learning Engineer, you'll bring your strong software engineering mindset to machine ... Has significant experience with at least one of the following areas: (1) Speech recognition (ASR ...

Duolingo

Senior AI Research Engineer

New York, NY · On-site

$197K - $266K/yr

We are looking for a Senior AI Research Engineer to join our Duolingo Video Call team. The ideal ... speech recognition, and text-to-speech systems. * Collaborate with cross-functional teams to ...

Duolingo

Senior AI Research Engineer

Pittsburgh, PA · On-site

$197K - $266K/yr

We are looking for a Senior AI Research Engineer to join our Duolingo Video Call team. The ideal ... speech recognition, and text-to-speech systems. * Collaborate with cross-functional teams to ...

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Entry Level Speech Recognition Engineer information

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How much do entry level speech recognition engineer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for entry level speech recognition engineer in the United States is $31.31, according to ZipRecruiter salary data. Most workers in this role earn between $27.40 and $34.62 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Speech Recognition Engineer vs Entry Level Machine Learning Engineer?

AspectEntry Level Speech Recognition EngineerEntry Level Machine Learning Engineer
Required CredentialsBachelor's in Computer Science, Electrical Engineering, or related field; knowledge of speech processingBachelor's in Computer Science, Data Science, or related; foundational ML knowledge
Work EnvironmentResearch labs, tech companies, speech tech startupsTech firms, AI startups, research institutions
Industry UsageSpeech recognition, voice assistants, transcription servicesVarious sectors including healthcare, finance, tech

While both roles require a background in computer science and related fields, Entry Level Speech Recognition Engineers focus specifically on speech processing technologies, whereas Entry Level Machine Learning Engineers work broadly across AI applications. The former specializes in speech data and algorithms, while the latter may work on diverse machine learning models across industries.

More about Entry Level Speech Recognition Engineer jobs
What are the most commonly searched types of Speech Recognition Engineer jobs? The most popular types of Speech Recognition Engineer jobs are:
What job categories do people searching Entry Level Speech Recognition Engineer jobs look for? The top searched job categories for Entry Level Speech Recognition Engineer jobs are:
Entry Level Speech Recognition Engineer jobs near you
Infographic showing various Entry Level Speech Recognition Engineer job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 81% Full Time, 16% Part Time, and 1% Contract. Highlights an 67% Physical, 1% Hybrid, and 32% Remote job distribution, with an average salary of $65,130 per year, or $31.3 per hour.

Voice AI Quality Analyst

Ova Technologies

Remote

Other

Re-posted 17 days ago

Job description

Job Role 1: Voice AI Quality Analyst
Job Summary
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)

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