ML Data Labeling & Model QA Analyst

Welocalize, Inc.; San Francisco (CA); On-site; USD 65,000 - 90,000; Full time

Job summary

Welocalize, Inc. is seeking a detail-oriented candidate to support ML model updates, data annotation, and quality assurance for English US data. The role involves updating training data, annotating text and image data, and ensuring data quality throughout the workflow.

The ideal candidate has a background in CS/Data Science or Linguistics, strong communication, and experience with command-line tools. The position emphasizes collaborative problem solving in a fast-paced environment.

Qualifications

• Bachelor’s degree in a relevant field and hands-on experience with NLP/ML data tasks.
• Proficient with command-line tools and basic data processing workflows.

Responsibilities

• Update training and test datasets for ML models and refine data creation guidelines.
• Run model training and evaluate performance to assess readiness for deployment.
• Design, manage, and annotate datasets per project guidelines; ensure data integrity.
• Perform manual quality analysis of model results and report anomalies to UX/QA teams.
• Apply basic NLP concepts to data processing tasks and ensure linguistic accuracy across datasets.

Skills

Command-line interfaces

Analytical thinking

Communication skills

Education

Bachelor's degree in Computer Science

Bachelor's degree in Data Science

Bachelor's degree in Linguistics or Computational Linguistics

Tools

CLI tools

Job description

Welocalize, Inc. is seeking a detail-oriented candidate to support ML model updates, data annotation, and quality assurance for English US data. The role involves updating training data, annotating text and image data, and ensuring data quality throughout the workflow.

The ideal candidate has a background in CS/Data Science or Linguistics, strong communication, and experience with command-line tools. The position emphasizes collaborative problem solving in a fast-paced environment.