Data Labeling Analyst – Speech & Voice AI

Welocalize

. Update training and test model databases with new or amended synthetic textual and image data .

Posted 10/9/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates foundational understanding of machine learning, data annotation, and natural language processing, with strong analytical skills to identify patterns and ensure data quality. Proficient in managing data workflows and delivering detailed reports to support user experience research.

Highest-signal resume keywords

Machine Learning UnderstandingData AnnotationNatural Language ProcessingAnalytical SkillsCommand-Line Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnnotationMachine LearningQuality AssuranceNatural Language ProcessingData AnalysisData ManagementError Pattern IdentificationModel Performance EvaluationDataset DesignLinguistic Accuracy

Soft Skills

Excellent CommunicationCollaboration

Tools & Technologies

Command-Line InterfacesInternal Tools

Industry Keywords

Synthetic DataTraining DatasetsTest DatasetsMulti-Lingual DataUser Experience Research

About the role

Key responsibilities & impact

Update training and test model databases with new or amended synthetic textual and image data
Modify and refine machine learning data creation, annotation, and rating guidelines
Initiate model training processes using internal tools and command-line interfaces
Evaluate trained model performance for efficacy and deployment readiness
Design and develop test and training datasets according to project criteria
Manage data efficiently and maintain workflow data integrity
Perform data relevance tasks aligned with project goals
Annotate data accurately according to guidelines
Conduct manual quality analysis of model results
Identify error patterns and report anomalies for investigation
Deliver detailed reports covering utterance quality, LLM evaluation, ASR bug tracking, and customer pain points for the User Experience Research team
Implement basic quality control measures and ensure processed data reliability
Use intermediate data analysis techniques to extract insights and inform decision-making
Arbitrate discrepancies to ensure consistent data quality
Apply basic natural language processing and linguistics knowledge to data processing
Ensure linguistic accuracy in processed and annotated data

Requirements

What you’ll need

Foundational understanding of machine learning, data annotation, quality assurance, and natural language processing
Ability to work in a fast-paced, collaborative environment
Excellent communication skills
Familiarity with command-line tools and interfaces
Strong analytical skills with the ability to identify patterns and anomalies
Bachelor's degree in Computer Science, Data Science, Linguistics, Computational Linguistics, or a related field is listed as preferred
Role primarily focuses on English US data sets
Familiarity with translation or multi-lingual data sets is a plus for future projects