Data Quality Lead

Welocalize•San Francisco, CA

About The Position

The Data Quality Lead position at Welocalize is a leadership role requiring expertise in machine learning and natural language processing. The successful candidate will lead, mentor, and grow a team of data annotators and quality analysts, ensuring adherence to company standards and best practices. Key responsibilities include strategic oversight, collaborating with senior management, efficient resource allocation, and acting as a liaison between the annotation team and other departments. The role also involves overseeing quality assurance processes, setting performance benchmarks, reviewing reports, and driving continuous improvement initiatives. Technical responsibilities include staying updated with ML, data annotation, and NLP advancements, addressing complex technical challenges, and guiding the team in advanced annotation techniques and linguistic accuracy, primarily for English US data sets. Welocalize is a global provider of translation, localization, and AI-driven content solutions, utilizing its AI-enabled OPAL platform for multilingual content in over 300 languages.

Requirements

Bachelor's degree in Computer Science, Data Science, Linguistics or Computational Linguistics or a related field.
Prior experience in a leadership role within a data annotation or machine learning team.
Proven track record of team management, mentorship, and performance optimization.
Strong analytical skills with the ability to derive actionable insights from data.
Deep understanding of machine learning models, data annotation, and quality assurance.
Excellent communication and interpersonal skills.

Nice To Haves

Experience with translation or multi-lingual data sets.

Responsibilities

Lead, mentor, and grow a team of data annotators and quality analysts.
Ensure team members are trained, informed, and adhere to company standards and best practices.
Oversee team performance, set goals, and conduct regular evaluations.
Collaborate with senior management to define strategic goals and deliverables.
Allocate resources and tasks efficiently among team members.
Act as a bridge between the annotation team and other departments, ensuring effective communication.
Oversee quality assurance processes and set benchmarks for performance and accuracy.
Review and approve detailed reports on findings prepared by team members.
Drive continuous improvement initiatives within the team based on analytics and performance metrics.
Stay updated with the latest in machine learning, data annotation, and natural language processing.
Address complex technical challenges faced by the team.
Provide guidance on advanced annotation techniques and quality analysis.
Guide the team in applying best practices in NLP and linguistics.
Ensure consistent linguistic accuracy across all processed and annotated data.