
AI Data Governance Specialist
1 day ago
The role of AI Data Quality & Engineering Lead is pivotal in ensuring the accuracy and integrity of testing, training, and evaluation data for AI models.
Main Responsibilities- Develop, refine, and document quality assurance processes to guarantee high-quality outputs.
- Establish quality metrics (e.g., F1 score, inter-annotator agreement) that align with business objectives and industry standards.
- Continuously review annotation workflows to identify potential risks and opportunities to increase efficiency and reduce errors.
- Lead in-depth data analysis to diagnose quality issues, assess strategy effectiveness, and uncover root causes of recurring errors.
- Develop dashboards for real-time quality metrics and project performance.
- Prepare and deliver strategic quality reports to senior management and clients, outlining quality trends, risks, and improvement plans.
- Collaborate with cross-functional teams to align on project goals and QA initiatives.
- Lead a team of Data Quality Analysts, providing mentorship and training to foster continuous improvement and accountability.
- Manage configuration and integration of annotation and quality control tools to ensure optimal performance.
- Identify and implement innovative quality control tools and automation technologies to streamline workflows and improve efficiency.
This role requires strong leadership skills, attention to detail, and ability to drive results.
Key Skills and Qualifications- Strong understanding of AI and machine learning concepts.
- Excellent communication and interpersonal skills.
- Ability to analyze complex data sets and identify patterns.
- Experience with data quality and quality assurance processes.
This role offers a competitive salary, comprehensive benefits package, and opportunities for growth and development.
About This RoleThis is an exciting opportunity for a seasoned professional to join our team and contribute to the success of our organization.
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