Data Labeling & Voice AI Analyst for ML Models

Welo Global; San Francisco (CA); On-site; USD 55,000 - 85,000; Full time

Job summary

Welo Global is seeking a detail-oriented data annotation and NLP specialist to support machine learning model updates, training data curation, and quality assurance. The role focuses on English US data sets with opportunities to expand into multilingual data across projects.

You will design training datasets, annotate data per guidelines, and participate in model evaluation and reporting to improve system performance and user experience.

Qualifications

• Excellent communication skills.
• Strong analytical skills and pattern recognition.
• Ability to work in a fast-paced, collaborative environment.

Responsibilities

• Update training and test model databases with new or amended data.
• Modify and refine machine learning data creation, annotation, and rating guidelines.
• Initiate model training processes using internal tools and CLI.
• Evaluate the performance of trained models for deployment readiness.
• Design and develop training datasets per project guidelines.
• Handle data efficiently and ensure data integrity.
• Annotate data accurately according to guidelines.
• Conduct manual quality analysis of model results and report anomalies.

Skills

Communication

Analytical skills

Team collaboration

Education

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

Tools

CLI

Job description

Welo Global is seeking a detail-oriented data annotation and NLP specialist to support machine learning model updates, training data curation, and quality assurance. The role focuses on English US data sets with opportunities to expand into multilingual data across projects.

You will design training datasets, annotate data per guidelines, and participate in model evaluation and reporting to improve system performance and user experience.