
Excellence in AI Data Quality Lead
6 days ago
Achieving Excellence in AI Data Quality
We're seeking an expert in high-quality data to lead our team. As a proactive leader, you'll design and implement effective annotation workflows that ensure the development of reliable AI models without compromising speed or efficiency.
The Key Responsibilities:
- Lead a high-performing team of data quality analysts, providing mentorship and training for continuous improvement and accountability.
- Develop robust QA processes, SOPs, and statistical metrics to guarantee annotation integrity.
- Drive transparency and insight by creating dashboards and reports revealing quality trends, root causes of errors, and improvement opportunities; communicate insights to stakeholders.
- Champion tool innovation and efficiency by managing annotation and QA platforms and evaluating or implementing new automation tools to elevate efficiency and maintain quality.
Requirements:
- 3+ years in data quality management, data operations, or related AI/ML or data annotation roles.
- Proven experience designing and executing QA strategies for large-scale, multi-modal data annotation projects.
- Leadership experience managing remote or distributed teams.
- Deep understanding of data annotation processes, QA methodologies, and metrics.
- Strong data-analysis skills and ability to translate findings into actionable recommendations.
What We Offer:
- A flexible work environment with the freedom to work from anywhere.
- New challenges in working on complex problems at the forefront of AI safety.
- Visible impact as your solutions influence how AI teams mitigate risk.
- Opportunity to grow and build a solutions function from scratch.
- Mission-driven collaboration with sellers, researchers, and engineers focused on safer AI.
Ideal Candidate:
- Exceptional Leadership Skills
- AI/ML Expertise
- Data-Driven Decision Making
- Continuous Improvement
- Collaborative Mindset
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