Data Labeling Associate

Job not on LinkedIn

🕒 July 2

🏄 California, New York – Remote

🏄 California – Remote 🗽 New York – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

⬇️ Data Entry

🚫👨‍🎓 No degree required

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 48%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 • Handle data efficiently and maintain data integrity throughout workflows • 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 on utterance quality, LLM evaluation, ASR bug tracking, and customer pain points for User Experience Research review • Implement basic quality-control measures and ensure processed-data reliability • Use intermediate data-analysis techniques to extract insights and inform decisions • Arbitrate discrepancies to ensure consistent data quality • Apply basic natural-language-processing and linguistics knowledge to data-processing tasks • 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 the ability to identify patterns and anomalies • English US data-set focus; familiarity with translation or multilingual data sets is a plus