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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.
