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QA Analyst Lead

QA Analyst Lead

WelocalizeSan Francisco, CA, United States
3 days ago
Job type
  • Full-time
Job description

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Job Responsibilities :

The ideal candidate will possess both technical prowess in machine learning and natural language processing, along with strong leadership skills to guide and mentor their team.

Key Responsibilities :

Team Leadership and Management :

  • 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.

Strategic Oversight :

  • 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.
  • Quality Assurance and Analysis :

  • 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.
  • Technical Expertise :

  • 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.
  • Linguistic and NLP Leadership :

  • Guide the team in applying best practices in NLP and linguistics.
  • Ensure consistent linguistic accuracy across all processed and annotated data.
  • Education : Bachelor's degree in Computer Science, Data Science, Linguistics or Computational Linguistics or a related field.

    Experience :

  • 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.
  • Additional Job Details :

    Additional Information :

    This role primarily focuses on English US data sets; however, having experience with translation or multi-lingual data sets can be advantageous.

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