Position Summary:
As the Head of Quality, AI Data Operations, you will be responsible for ensuring that the quality of our training data, adversarial testing, and model evaluation services meets the highest standards. You will drive thought leadership on data quality, work closely with customers to define and deliver high-quality outputs, and oversee the development of training and quality protocols across projects. This role requires a blend of strategic thinking, hands-on operations, and cross-functional collaboration to ensure our services are impactful for AI and LLM projects.
The ideal candidate will have a strong entrepreneurial mindset, deep expertise in both statistics and quality assurance, and experience leading global teams. They will be comfortable working in a fast-paced, ambiguous environment and being in a constant state of learning.
Key Responsibilities:
- Lead the design and implementation of quality assurance protocols tailored to training data and model evaluation. Most of our demand is for GenAI/LLM projects, but there’s plenty of “traditional AI” work too.
- Own the definition of what "high-quality" data means across diverse projects and ensure these standards are met across the organization.
- Drive thought leadership with customers, aligning on data quality goals, and developing innovative quality processes.
- Act as the primary point of contact for customer discussions related to data quality and model evaluation.
- Provide strategic guidance on handling edge cases, and offer solutions for the nuances and challenges involved in building high-quality training data.
- Lead external communication on data quality, positioning the company as a thought leader in AI model robustness and evaluation.
- Collaborate with researchers, linguists, and subject matter experts to stay ahead of advancements in data quality definitions and standards.
- Foster a high-performance culture, encouraging continuous learning and improvement
- Continuously explore and implement new methodologies for improving the quality of training data and model evaluation processes.
- Drive a culture of testing, iterating, and scaling processes, ensuring that all workflows are efficient and results-driven.
Required Skills & Competencies:
- 7+ years of experience, ideally with an entrepreneurial background and a proven ability to lead teams clear goals, but an unclear path.We’re fast moving and constantly changing.
- You LOVE this stuff. You have a strong pov on the coolest and most useful AI tools on the market, and you love opening the hood and playing around. You have a deep understanding of large language models, generative AI workflows, and data structures.
- Strong interest and commitment to learning about the latest developments in LLMs and AI technologies.
- Proven ability to design and lead quality assurance processes for data annotation and AI model evaluation.
- Experience developing scalable systems like "golden datasets" for evaluating contributor performance.
- Strong communication and leadership skills with the ability to engage effectively with customers, internal stakeholders, and global teams.
- Track record of managing teams in a high-velocity environment, with a focus on outcomes.
- Excited to tackle ambiguous problems with a relentless attitude of testing, iterating, and scaling solutions.
- Strong analytical skills with the ability to derive actionable insights from complex data.
