
Chief Data Quality Architect
20 hours ago
We are seeking a seasoned professional to lead high-quality annotation workflows for AI models, ensuring reliability and accuracy without compromising on speed or efficiency.
Key Responsibilities:
- Build and guide a team: Lead and mentor a team of Data Quality Specialists, setting clear quality goals, delivering feedback, and fostering a culture of precision and accountability.
- Ensure quality at scale: Develop and continually refine robust QA processes, SOPs, and statistical quality metrics (e.g., F1 score, inter-annotator agreement) to protect the integrity of annotation outputs.
- Drive transparency and insight: Create dashboards and reports that reveal quality trends, root causes of errors, and improvement opportunities - communicating these insights to leadership and clients.
- Champion tool innovation and efficiency: Manage annotation and QA platforms, and lead the evaluation or implementation of new automation tools to elevate efficiency and maintain quality.
- Lead in-depth data analysis to diagnose quality issues, assess the effectiveness of quality strategies, and uncover root causes of recurring errors.
- Develop and maintain dashboards that provide real-time insights into quality metrics and project performance.
- Prepare and deliver strategic quality reports to senior management and clients, articulating quality trends, risks, and improvement plans.
- Partner with cross-functional teams to align on project goals and quality assurance initiatives.
- Lead a team of Data Quality Specialists and provide mentorship, training, and expertise, fostering a culture of continuous improvement and accountability.
- Manage the configuration and integration of annotation and quality control tools, ensuring optimal tool performance and alignment with project requirements.
- Identify, evaluate, and implement innovative quality control tools and automation technologies to streamline quality control workflows, enhance analytical capabilities, and improve operational efficiency.
This is an opportunity to work in a fast-paced environment where every challenge is new and your architectures directly influence how leading AI teams mitigate risk.
We prioritize employee well-being and offer competitive industry salaries, comprehensive benefits packages, and remote-first flexibility.
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