Note: The job is a remote job and is open to candidates in USA. Welocalize is a company specializing in language services, and they are seeking a Data Labeling Analyst for Speech & Voice AI. The role involves updating machine learning models, managing data annotation, and ensuring quality assurance for data sets.

Responsibilities

• 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 the performance of trained models to gauge their efficacy and readiness for deployment
• Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees
• Handle data efficiently, ensuring its integrity throughout the workflow
• Engage in data relevance tasks, ensuring data sets are aligned with project goals
• Annotate data accurately, ensuring it adheres to set guidelines
• Conduct manual quality analysis of model results
• Recognize error patterns and report anomalies for further investigation
• Deliver detailed reports on findings, including aspects such as utterance quality, LLM evaluation, ASR bug tracking, and customer pain points to be reviewed by the User Experience Research team
• Implement basic quality control measures and ensure the reliability of processed data
• Utilize intermediate data analysis techniques to extract insights and inform decision-making
• Arbitrate discrepancies effectively, ensuring consistent data quality
• Apply basic knowledge of natural language processing and linguistics to data processing tasks
• Ensure linguistic accuracy in all processed and annotated data

Skills

• 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 or Computational Linguistics or a related field
• Familiarity with translation or multi-lingual data sets can be a plus for future projects

Company Overview

Company H1B Sponsorship