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Remote Speech Analyst Jobs (NOW HIRING)

MCI Careers

Quality Analyst Lead

Wichita, KS · Remote

Our contact centers are powered by both on-site and remote agents, leveraging advanced technologies ... Familiarity with speech analytics or automated QA platforms.

MCI Careers

Quality Analyst Lead

Wichita, KS · Remote

Our contact centers are powered by both on-site and remote agents, leveraging advanced technologies ... Familiarity with speech analytics or automated QA platforms. WANT AN EMPLOYER THAT VALUES YOUR ...

MCI Careers

Quality Analyst Lead

Wichita, KS · Remote

Our contact centers are powered by both on-site and remote agents, leveraging advanced technologies ... Familiarity with speech analytics or automated QA platforms. COMPENSATION DETAILS WANT AN EMPLOYER ...

Mondo

Epic Outpatient Rehab Analyst

Charleston, SC · Remote

$74.59 - $87.75/hr

Remote (Must work Eastern Time hours; travel required for go-lives and key testing milestones ... Build and configure the Epic Outpatient Rehabilitation module, focusing on PT, OT, and Speech ...

Earlens Corp

Remote Diagnostic Audiologist Texas

... speech audiometry, video otoscopy, and immittance testing as well as initial fitting of air ... analyze auditory function. • Chart notes in ENT EMR, write reports as appropriate including ...

Earlens Corp

Remote Audiologist MS Licensed

$80K - $110K/yr

... speech audiometry, video otoscopy, and immittance testing as well as initial fitting of air ... analyze auditory function. • Chart notes in ENT EMR, write reports as appropriate including ...

Pae

IMINT Analyst Expert

Fort Belvoir, VA · Remote

College degree must be in a relevant field such as remote sensing, Geospatial sciences, Relevant ... speech/hearing abilities for communication, constant mental alertness, must possess planning ...

Pae

IMINT Analyst Expert

Lorton, VA · Remote

College degree must be in a relevant field such as remote sensing, Geospatial sciences, Relevant ... speech/hearing abilities for communication, constant mental alertness, must possess planning ...

Pae

IMINT Analyst Expert

Fort Eisenhower, GA · Remote

College degree must be in a relevant field such as remote sensing, Geospatial sciences, Relevant ... speech/hearing abilities for communication, constant mental alertness, must possess planning ...

Pae

IMINT Analyst Expert

Aurora, CO · Remote

College degree must be in a relevant field such as remote sensing, Geospatial sciences, Relevant ... speech/hearing abilities for communication, constant mental alertness, must possess planning ...

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Remote Speech Analyst information

What are the key skills and qualifications needed to thrive as a Remote Speech Analyst, and why are they important?

To thrive as a Remote Speech Analyst, you need a strong background in linguistics, phonetics, and speech science, often supported by a relevant degree or experience in speech analysis. Familiarity with speech analytics software, transcription tools, and audio editing systems is typically essential. Attention to detail, analytical thinking, and effective communication are important soft skills for interpreting audio data and collaborating with team members. These skills ensure accurate analysis, meaningful insights, and efficient remote workflow in speech data projects.

What are the typical daily responsibilities of a Remote Speech Analyst and how do they collaborate with other team members?

A Remote Speech Analyst typically spends their day analyzing audio recordings, transcribing speech, and identifying patterns to improve speech recognition systems or support linguistic research. They often collaborate with data scientists, software engineers, and linguists through virtual meetings and shared project management tools to ensure accuracy and consistency in analysis. Clear communication and regular feedback are essential, as team members may be distributed across different time zones. Maintaining attention to detail and managing deadlines independently are key aspects of this remote role.

What is a Remote Speech Analyst?

A Remote Speech Analyst is a professional who analyzes audio recordings of spoken language to assess quality, accuracy, and compliance with specific standards. They often work with speech recognition systems, customer service calls, or linguistic data, providing feedback and insights to improve speech technologies or communication services. This role is performed remotely, allowing analysts to work from home or any location with internet access. Strong listening skills, attention to detail, and familiarity with speech analysis tools are essential for success in this position.

What is the difference between Remote Speech Analyst vs Remote Transcriptionist?

AspectRemote Speech AnalystRemote Transcriptionist
Required CredentialsTypically requires a degree in linguistics, communications, or related field; certification in speech analysis is a plusHigh school diploma or equivalent; specialized transcription training preferred
Work EnvironmentHome-based, often working with audio/video files for analysis and interpretationHome-based, converting audio recordings into written text
Employer & Industry UsageUsed in healthcare, legal, and corporate sectors for speech evaluation and analysisCommon in legal, medical, and media industries for documentation purposes

Remote Speech Analysts focus on analyzing and interpreting speech data, often requiring specialized knowledge and certifications. In contrast, Remote Transcriptionists primarily convert audio recordings into written documents. Both roles are home-based and serve industries like healthcare and legal sectors, but their core tasks and skill requirements differ significantly.

More about Remote Speech Analyst jobs
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Remote Speech Analyst jobs near you
Infographic showing various Remote Speech Analyst job openings in the United States as of July 2026, with employment types broken down into 80% Full Time, 12% Part Time, and 8% Contract. Highlights an 100% Remote job distribution.
Deep Learning Scientist, Speech Synthesis

Deep Learning Scientist, Speech Synthesis

Catapult Solutions Group

Santa Clara, CA • On-site, Remote

Contractor

Posted 2 days ago

Job description

Deep Learning Scientist - Speech Synthesis
Update as of 07/21/26: Hi,
We are specifically seeking candidates with deep, hands-on expertise in Text-to-Speech (TTS), including experience developing and working with modern SOTA architectures and models. It is essential that their TTS background reflects work with the latest technologies and innovations in speech synthesis, demonstrating current industry knowledge and practical implementation experience.
Thank you!
Location: 100% Remote (Anywhere in the U.S.)
Duration: 6-Month Contract
Position Overview
We are seeking a Deep Learning Scientist - Speech Synthesis to support the development of next-generation speech AI technologies. This role focuses on training and optimizing speech models, improving model performance, and solving complex machine learning challenges related to speech applications.
The ideal candidate has strong experience in speech synthesis (Text-to-Speech) or Speech-to-Text, deep learning, and Python development. Success in this role requires the ability to analyze model behavior, diagnose training issues, and improve model performance-not just collect or evaluate data.
Key Responsibilities
  • Train and optimize speech synthesis models, including mel spectrogram and vocoder models.
  • Analyze training metrics, validation losses, and model performance to identify root causes of model issues and recommend improvements.
  • Benchmark and optimize speech models across multiple use cases.
  • Improve speech data preparation, augmentation, filtering, and dataset quality.
  • Develop and refine high-quality training datasets for speech AI models.
  • Measure and characterize model accuracy, quality, and bias.
  • Collaborate with cross-functional teams to develop and deliver new speech AI features.
  • Participate in software development, design reviews, testing, and code reviews.
  • Troubleshoot technical issues and contribute to continuous model improvements.
Required Qualifications
  • Master's degree or Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, Applied Mathematics, Linguistics, Computational Linguistics, or a related field (or equivalent experience).
  • 3+ years of relevant industry experience.
  • Strong Python programming skills.
  • Strong understanding of machine learning and deep learning concepts.
  • Experience with Text-to-Speech (TTS), Speech Synthesis, or Speech-to-Text (STT) technologies.
  • Hands-on experience training deep learning models using PyTorch.
  • Ability to analyze training behavior, validation losses, and model performance to troubleshoot and improve machine learning models.
  • Knowledge of speech signal processing concepts, including FFT, MFCC, and mel spectrograms.
  • Strong understanding of software development fundamentals.
  • Experience using version control systems such as Git, Gerrit, or GitLab.
  • Excellent communication and collaboration skills.
Preferred Qualifications
  • Experience with deep learning architectures such as CNNs, RNNs, LSTMs, and Transformers.
  • Experience with voice cloning or multilingual speech systems.
  • Knowledge of text normalization (TN), inverse text normalization (ITN), or grapheme-to-phoneme (G2P) systems.
  • Fluency in one or more languages such as Spanish, Mandarin, German, Japanese, Russian, French, Arabic, Hindi, Korean, Italian, or Portuguese.
  • Interest in linguistics, phonetics, and speech technologies.
  • Strong C++ programming skills.
  • Familiarity with GPU technologies such as CUDA, cuDNN, or TensorRT.
  • Experience deploying machine learning models to cloud, data center, or embedded environments.
What We're Looking For
The ideal candidate is someone who enjoys solving difficult machine learning problems and has hands-on experience training speech models. Beyond building models, we're looking for someone who can investigate why a model is underperforming, analyze validation losses, identify root causes, and improve overall model quality and performance.
Additional Information
  • 100% remote position within the United States.
  • No specific U.S. time zone requirement.
  • This is a contract opportunity.
  • Opportunity to contribute to cutting-edge speech AI and deep learning technologies.

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