ML Data Labeling & Model QA Specialist

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

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.