Data Labeling Associate

Welocalize, Inc; San Francisco (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

Welocalize, Inc. is seeking a data/ML-focused candidate in the US to update training and test datasets, annotate data, and evaluate model performance. The role emphasizes QA, linguistic accuracy, and NLP-driven data processing, ensuring data quality and relevance across projects.

The position requires collaboration with project managers and other team members, with a focus on English US datasets and potential growth into multilingual data tasks in future projects.

Qualifications

• Foundational ML, data annotation, QA, and NLP understanding.
• Ability to design and develop test/training datasets within project guidelines.
• Experience working with data integrity and data relevance tasks.

Responsibilities

• Update training and test model databases with new or amended synthetic data.
• Initiate model training processes using internal tools and CLIs and evaluate performance.
• Design and develop test and training datasets per project guidelines.
• Conduct manual quality analysis of model results and report anomalies.
• Apply basic NLP knowledge to data processing and ensure linguistic accuracy.

Skills

Machine learning

Data annotation

Quality assurance

Natural language processing

Command-line tools

Data management

Linguistics

Communication

Education

Bachelor's degree in Computer Science, Data Science, Linguistics or Computational Linguistics

Tools

Command-line interfaces

Job description

Job Responsibilities

The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our machine learning models and ensuring their efficacy.

• Machine Learning Model Updates: 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.
• Model Training and Evaluation: 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.
• Data Management and Annotation: 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.
• Quality Assurance and Analysis: 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.
• Linguistic and NLP Tasks: Apply basic knowledge of natural language processing and linguistics to data processing tasks. Ensure linguistic accuracy in all processed and annotated data.

REQUIREMENTS

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

Additional Information

This role primarily focuses on English US data sets; however, familiarity with translation or multi-lingual data sets can be a plus for future projects.

Additional Job Details

Welocalize is a leading technology-enabled provider of translation, localization, and AI-driven content solutions, helping businesses communicate, innovate, and grow globally. Specializing in complex and regulated industries, Welocalize delivers precise, scalable multilingual content through a powerful combination of advanced AI technologies and expert human talent. At the core is Welocalize’s AI-enabled OPAL platform, which transforms translation workflows by integrating machine translation (MT) and large language models (LLMs) to provide fast, accurate, and culturally relevant content in over 300 languages. With a commitment to excellence, Welocalize holds 7 ISO certifications. Welocalize is headquartered in New York with offices all over the globe.