Data Labeling Analyst – Speech & Voice AI

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🔥 1 minute ago

🏄 California, New York – Remote

🏄 California – Remote 🗽 New York – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

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Welocalize

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🏥 Healthcare

⚖️ Legal

Consulting • Healthcare • Legal

Welocalize is a leader in providing enterprise language services and AI-powered translation solutions. Known for its OPAL platform, Welocalize offers fit-for-purpose global content delivery, enabling stronger engagement and revenue for its clients. Specializing in AI-enabled service delivery, OPAL leverages machine translation engines and natural language processing to automate and optimize translations across various industries, including legal, medical, and technological sectors. Welocalize supports multiple content use cases such as marketing localization, software testing, and multilingual SEO, catering to a diverse range of industry needs. Additionally, Welocalize's commitment to AI innovation is emphasized by its new brand Welo Data, providing high-quality training data for AI development, further strengthening its position as a trusted partner for global enterprises.

📋 Description

• 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 integrity throughout the workflow • Perform data relevance tasks and align datasets with project goals • Annotate data accurately according to established 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 • 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

• Foundational understanding of machine learning, data annotation, quality assurance, and natural language processing • Bachelor's degree in Computer Science, Data Science, Linguistics, Computational Linguistics, or a related field preferred • Ability to work in a fast-paced, collaborative environment • Excellent communication skills • Familiarity with command-line tools and interfaces • Strong analytical skills with ability to identify patterns and anomalies • English US dataset focus; familiarity with translation or multilingual datasets is a plus