At a Glance
- Tasks: Lead global quality strategy for AI data, ensuring high standards and scalable systems.
- Company: Prolific, a pioneer in ethical AI data infrastructure.
- Benefits: Competitive salary, equity options, remote work, and a mission-driven culture.
- Why this job: Shape the future of AI with diverse human perspectives and impactful research.
- Qualifications: 8-12 years in quality data operations, with leadership experience across global teams.
- Other info: Join a dynamic team at the forefront of AI innovation.
The predicted salary is between 54000 - 90000 £ per year.
Prolific isn't just enabling AI innovation; we're redefining it. While foundational AI technologies are becoming commoditized, Prolific's human data infrastructure provides the high-quality diverse data required to train the next generation of AI models. Through our platform, we empower researchers and companies to access a global ethically curated participant base, ensuring cutting-edge AI research and training grounded in inclusivity and precision.
The Role
As Head of Quality AI Data, you will own the systems that turn messy human and model signals into trustworthy scalable AI data. Our customers' models are only as good as the data and evaluations we deliver, and as we operate across regions, languages, and time zones, quality cannot be an afterthought or a local optimisation. This role sets the global quality bar. You will define standards, enforce rigor, and build quality systems that scale across distributed teams without slowing delivery. You'll act as the senior quality leader internally and externally, shaping how customers understand, trust, and use Prolific's data.
What You'll Be Doing
- Set the global quality strategy across annotation, human feedback, model evaluation, red-teaming, and multilingual data.
- Define and enforce quality standards, acceptance criteria, and playbooks across project and pipeline types.
- Own the quality measurement system including sampling strategies, agreement metrics, defect taxonomies, and drift detection.
- Lead a globally distributed quality organisation and design operating rhythms that work asynchronously across regions.
- Ensure quality is embedded from project kickoff through delivery including audits, remediation loops, and root-cause analysis.
- Act as the senior quality partner for customers, clearly explaining methodology, results, risks, and improvement plans.
- Partner with Product, Engineering, and Operations to embed quality into tooling, workflows, and automation.
- Hire, develop, and lead quality managers and senior individual contributors, building a culture of rigor and accountability.
What You'll Bring to the Role
- 8-12 years of experience in quality data operations, trust and safety, or ML evaluation with 3 years leading managers or senior leads.
- Proven experience running quality programs across globally distributed teams and multiple regions.
- Strong statistical intuition (sampling, agreement, bias/variance) and comfort working with quality data.
- Fluency with SQL and dashboards; working knowledge of Python or R for analysis or automation.
- Deep understanding of human-in-the-loop systems and how data quality impacts model behaviour.
- Strong judgment balancing speed, cost, and quality, and the ability to make trade-offs explicit.
- Clear, confident communication with both engineers and executives.
Even Better if you have
- Experience with multilingual or localisation-style QA.
- Background designing taxonomies or evaluation frameworks tied to model performance.
- Exposure to regulated or high-scrutiny environments where auditability matters.
Why Prolific is a great place to work
We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation, one that reflects the breadth and the best of humanity.
Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working within our impactful mission-driven culture. At Prolific, our compensation packages for eligible roles include base salary, equity, and benefits. Many roles also include the opportunity to earn a cash variable element such as a bonus or commission. Each job posting shows a salary range that reflects the minimum and maximum target for new hires based on the role's location as well as your skills, experience, and relevant education or training. Your recruiter will also be happy to share the specific salary range for your preferred location during the hiring process.
Head of Quality, AI Business in London employer: Prolific
Contact Detail:
Prolific Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Quality, AI Business in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Prolific. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for interviews by diving deep into Prolific's mission and values. Show us how your experience aligns with our goals in AI innovation and quality data management.
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of how you've tackled quality challenges in the past. We love hearing about real-world experiences.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Head of Quality, AI Business in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in quality data operations and leadership. We want to see how your skills align with our mission at Prolific, so don’t hold back on showcasing relevant achievements!
Showcase Your Statistical Skills: Since this role requires a strong statistical intuition, be sure to mention any experience you have with sampling strategies or quality metrics. We love seeing candidates who can demonstrate their comfort with data analysis tools like SQL or Python.
Communicate Clearly: In your application, aim for clear and confident communication. Whether it’s your cover letter or CV, we appreciate straightforward language that conveys your ideas effectively. Remember, you’ll need to explain complex methodologies to both engineers and executives!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, you’ll find all the details you need about the position and our company culture there!
How to prepare for a job interview at Prolific
✨Know Your Quality Standards
Before the interview, make sure you’re well-versed in quality standards relevant to AI data. Familiarise yourself with common metrics and methodologies used in the industry, as this will help you articulate how you can set and enforce these standards at Prolific.
✨Showcase Your Leadership Experience
Be prepared to discuss your experience leading globally distributed teams. Share specific examples of how you've successfully managed quality programs across different regions, highlighting your ability to communicate effectively with both engineers and executives.
✨Demonstrate Statistical Intuition
Brush up on your statistical knowledge, especially around sampling strategies and defect taxonomies. Be ready to explain how you would apply this knowledge to ensure high-quality data and model evaluations, as this is crucial for the role.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills in quality assurance. Think about past challenges you've faced in quality management and how you overcame them, particularly in high-scrutiny environments where auditability is key.