
AI Data Quality Lead
1 day ago
About this Position:
We are seeking an experienced Data Quality Specialist to lead our AI data quality efforts. This role requires a strong understanding of data annotation workflows, quality metrics, and statistical analysis.
- Data Quality Leadership: Develop and implement robust QA processes, SOPs, and statistical quality metrics to ensure the integrity of annotated data.
- Team Management: Lead and mentor a team of Data Analysts, setting clear goals, delivering feedback, and fostering a culture of precision and accountability.
- Process Optimization: Drive process improvements by analyzing quality trends, root causes of errors, and improvement opportunities - communicating insights to stakeholders.
- Tool Innovation: Manage and evaluate automation tools to elevate efficiency and maintain data quality.
This role involves working closely with cross-functional teams to develop, implement, and maintain high-quality data annotation processes. Key responsibilities include:
- Developing and maintaining QA processes and SOPs to ensure data accuracy and reliability.
- Analyzing quality metrics and identifying areas for improvement.
- Communicating results and recommendations to stakeholders.
- Collaborating with other teams to drive process improvements.
To be successful in this role, you will need:
- Strong analytical and problem-solving skills.
- Experience with data annotation workflows and quality metrics.
- Leadership experience with a focus on team development and management.
- Excellent communication and collaboration skills.
This role offers a competitive salary, comprehensive benefits package, and opportunities for professional growth and development. If you are a motivated and detail-oriented individual with a passion for data quality, we encourage you to apply.
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