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Speech Data Evaluator Jobs (NOW HIRING)

Perle AI

$18 - $23.50/hr

The work powers speech recognition, dialogue, and evaluation systems for major AI labs. Audio ... This is not data entry. Decisions about orthography, code-switching, speaker attribution ...

RWS

Speech AI Evaluation Specialist - Thai

Speech AI Evaluation Specialist We are looking for a Speech AI Evaluation Specialist to support the ... AI & Data Capabilities (Preferred): Experience in one or more of the following areas: machine ...

Knowtex

ML Engineer: Speech & LLMs

San Francisco, CA · On-site

Build rigorous speech evaluation frameworks beyond traditional WER, including medical terminology ... Experience with large-scale audio datasets and speech data pipelines * Familiarity with speaker ...

SpaceXAI

AI Tutor - Sorani Kurdish

Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply. LOCATION AND OTHER EXPECTATIONS: * Tutor roles may be ...

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How much do speech data evaluator jobs pay per year?

As of Aug 27, 2026, the average yearly pay for speech data evaluator in the United States is $65,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,500.00 and $79,500.00 per year, depending on experience, location, and employer.

What is a speech data evaluator?

A Speech Data Evaluator reviews, transcribes, and analyzes speech and audio data to improve speech recognition systems. The role involves assessing accuracy, annotating linguistic patterns, and ensuring data quality for artificial intelligence training. Strong language proficiency, attention to detail, and familiarity with phonetics or linguistic concepts are often required. This position is commonly found in tech companies working on voice assistants, transcription services, and AI-driven speech recognition tools.

What does a speech data evaluator do?

A typical workday for a Speech Data Evaluator usually involves listening to audio recordings, transcribing or annotating speech data, and verifying the accuracy of speech recognition outputs. You may work independently but also collaborate with data scientists, linguists, or software engineers to clarify guidelines or resolve ambiguities in data. Regular tasks include reviewing automated transcriptions, tagging linguistic elements, and providing detailed feedback to improve speech models. Some days may involve participating in team meetings or training sessions to stay up-to-date with evolving requirements. Attention to detail and focus are essential, as your work has a direct impact on the quality of voice-activated products and services.

What are the key skills and qualifications needed to thrive as a speech data evaluator?

To thrive as a Speech Data Evaluator, you need strong analytical skills, attention to detail, and proficiency in linguistics or language studies, often supported by a relevant degree. Experience with transcription software, data annotation tools, and familiarity with speech recognition systems is highly valued. Excellent communication, critical thinking, and a commitment to quality assurance are standout soft skills in this role. These abilities ensure the accurate evaluation and labeling of speech data, which is crucial for training and improving voice-driven technologies.

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Speech Data Evaluator jobs near you
Infographic showing various Speech Data Evaluator job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $65,471 per year, or $31.5 per hour.

ME00647-Data Scientist 3

Fort George G Meade, MD • On-site

Momentum Engineering
See more jobs at Momentum Engineeringexternal

$135 - $180/hr

Other

Medical, Dental, Vision, Life, PTO

Posted 19 days ago

Job description

ME00647-Data Scientist 3Momentum Engineering Fort Meade, Maryland, United States About this position

Momentum Engineering, Inc. fosters an employee-centric culture. Our strength lies in our people. With a high percentage of employees holding advanced degrees in engineering, computer science, and related disciplines, we bring deep technical expertise to every mission. Our team includes professionals with security clearances and full-scope polygraphs, ensuring trusted, secure support for the most sensitive national security initiatives. Additionally, our workforce is equipped with industry-leading certifications, demonstrating a commitment to continuous learning and excellence. Most importantly, our exceptional employee retention rate reflects a culture of professional growth, mission focus, and dedication—ensuring long-term stability and expertise for our customers’ critical needs.

Job Summary

  • Seeking a Data Scientist to support a Natural Language Processing project focused on automatically processing spoken and written language data
  • The successful candidate will develop automated tokenization and linguistic annotation capabilities and evaluate model performance against human-generated annotations

Primary Responsibilities

  • Develop NLP solutions for spoken and written language data
  • Develop automated approaches for accurate language tokenization
  • Create automated solutions for annotating language data with parts-of-speech information
  • Analyze speech and text datasets
  • Improve existing NLP models and processing techniques
  • Evaluate model performance against human-generated annotations
  • Develop quantitative methods for measuring model accuracy and effectiveness
  • Document model performance, analytical methods, and recommended improvements

Required Qualifications

  • Must have active Top Secret/SCI clearance with NSA Full Scope Polygraph
  • Master’s degree with 6 years of relevant experience, Bachelor’s degree with 8 years of relevant experience, Associate's degree with 10 years of in-depth relevant experience that is clearly related to the position
  • Experience with Natural Language Processing
  • Experience processing text and/or speech data
  • Understanding of tokenization and linguistic annotation concepts
  • Strong analytical and software-development skills

Desired Qualifications

  • Experience with parts-of-speech tagging
  • Computational linguistics background
  • Experience evaluating automated NLP output against human-generated annotations
  • Experience working with both speech and text datasets

Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate’s experience and qualifications.

Momentum Engineering, Inc. fosters an employee-centric culture. Our strength lies in our people. With a high percentage of employees holding advanced degrees in engineering, computer science, and related disciplines, we bring deep technical expertise to every mission. Our team includes professionals with security clearances and full-scope polygraphs, ensuring trusted, secure support for the most sensitive national security initiatives. Additionally, our workforce is equipped with industry-leading certifications, demonstrating a commitment to continuous learning and excellence. Most importantly, our exceptional employee retention rate reflects a culture of professional growth, mission focus, and dedication—ensuring long-term stability and expertise for our customers’ critical needs.

Job Summary

  • Seeking a Data Scientist to support a Natural Language Processing project focused on automatically processing spoken and written language data
  • The successful candidate will develop automated tokenization and linguistic annotation capabilities and evaluate model performance against human-generated annotations

Primary Responsibilities

  • Develop NLP solutions for spoken and written language data
  • Develop automated approaches for accurate language tokenization
  • Create automated solutions for annotating language data with parts-of-speech information
  • Analyze speech and text datasets
  • Improve existing NLP models and processing techniques
  • Evaluate model performance against human-generated annotations
  • Develop quantitative methods for measuring model accuracy and effectiveness
  • Document model performance, analytical methods, and recommended improvements

Required Qualifications

  • Must have active Top Secret/SCI clearance with NSA Full Scope Polygraph
  • Master’s degree with 6 years of relevant experience, Bachelor’s degree with 8 years of relevant experience, Associate's degree with 10 years of in-depth relevant experience that is clearly related to the position
  • Experience with Natural Language Processing
  • Experience processing text and/or speech data
  • Experience developing automated language-processing solutions
  • Understanding of tokenization and linguistic annotation concepts
  • Experience evaluating model performance
  • Strong analytical and software-development skills

Desired Qualifications

  • Experience with parts-of-speech tagging
  • Computational linguistics background
  • Experience evaluating automated NLP output against human-generated annotations
  • Experience working with both speech and text datasets

Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate’s experience and qualifications.

The pay range for this role is:

135,000 - 180,000 USD per year(Ft. Meade MD)

Salary Information

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