Head of Quality Assurance for AI Data Operations

3 weeks ago

London, Greater London, United Kingdom TaskUs Full time

About TaskUs:

TaskUs is a leading provider of outsourced digital services and next-generation customer experience to fast-growing technology companies. Our mission is to help clients represent, protect, and grow their brands by leveraging a cloud-based infrastructure.

What We Offer:

At TaskUs, we prioritize our employees' well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity.

Position Summary:

The Head of Quality Assurance for AI Data Operations will be responsible for ensuring the quality of our training data, adversarial testing, and model evaluation services meets the highest standards. 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. Key responsibilities include:

  • Designing and implementing quality assurance protocols tailored to training data and model evaluation.
  • Defining and ensuring high-quality data standards across diverse projects.
  • Driving thought leadership with customers, aligning on data quality goals, and developing innovative quality processes.
  • Acting as the primary point of contact for customer discussions related to data quality and model evaluation.
  • Providing strategic guidance on handling edge cases and offering solutions for the nuances and challenges involved in building high-quality training data.
  • Leading external communication on data quality, positioning the company as a thought leader in AI model robustness and evaluation.
  • Collaborating with researchers, linguists, and subject matter experts to stay ahead of advancements in data quality definitions and standards.
  • Fostering a high-performance culture, encouraging continuous learning and improvement.
  • Continuously exploring and implementing new methodologies for improving the quality of training data and model evaluation processes.

Requirements:

The ideal candidate will have a strong entrepreneurial mindset, deep expertise in both statistics and quality assurance, and experience leading global teams. Key requirements include:

  • 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 analytical skills with the ability to derive actionable insights from complex data.

DEI:

In TaskUs, we believe that innovation and higher performance are brought by people from all walks of life. Inclusive and equitable practices are our responsibility as a business. If you need reasonable accommodations in any part of the hiring process, please let us know.

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