Data Labeling Associate

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🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

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Welocalize

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

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 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.

🎯 Requirements

• Bachelor's degree in Computer Science, Data Science, Linguistics or Computational Linguistics or a related field. • 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.

🏖️ Benefits

• Flexible work arrangements