Job Description

Manager, AI Data Quality
Full-Time
43,000 - 72,000 £ / year (est.)
PCD330056

At a Glance

Tasks: Lead a team to ensure top-notch data quality and develop effective quality assurance processes.

Responsibilities:

- Strategic Leadership
Drive the development, refinement, and documentation of quality assurance processes and standard operating procedures to ensure high-quality outputs.
Establish comprehensive quality metrics (e.g. F1 score, inter-annotator agreement) that align with business objectives and industry standards.
Continuously review and refine annotation workflows to proactively identify risks and areas to increase efficiency and reduce errors.
Act as the subject matter expert on annotation quality, providing ongoing feedback, training, and support to annotators and project teams to uphold the highest quality standards.
- Analysis and Reporting
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, including operational management, the organisation, and client services, to align on project goals and quality assurance initiatives.
- Operational Leadership
Lead a team of Data Quality Analysts 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 (e.g. Labelbox, Dataloop, LabelStudio), ensuring optimal tool performance and alignment with project requirements
Identify, evaluate, and implement innovative quality control tools and automation the organisation to streamline quality control workflows, enhance analytical capabilities, and improve operational efficiency.
Required the organisation
Bachelor’s degree in a technical field (e.g. Computer Science, Data Science) or equivalent professional experience.
3+ years of experience in data quality management, data operations, or related roles within AI/ML or data annotation environments.
Proven track record in designing and executing quality assurance strategies for large-scale, multi-modal data annotation projects.
Proven track record in a leadership role managing and developing high-performing, remote or distributed teams.
Deep understanding of data annotation processes, quality assurance methodologies, and statistical quality metrics (e.g., F1 score, inter-annotator agreement).
Strong data-analysis skills, with the ability to interrogate large datasets, perform statistical analyses, and translate findings into actionable recommendations.
Excellent communication skills, with experience presenting complex data and quality insights to technical and non-technical stakeholders.
Proficiency with annotation and QA tools (e.g., Labelbox, Dataloop, LabelStudio).
High-level of proficiency in common data-analysis tools, such as spreadsheet application and spreadsheet application.
Familiarity with programmatic data analysis techniques (e.g. Python, SQL).
Familiarity with the core concepts of AI/ML pipelines, including data preparation, model training, and evaluation.
Preferred the organisation
Prior experience in an agile or fast-paced tech environment with exposure to AI/ML pipelines.
Experience in a managed services or vendor-driven environment.
Familiarity with prompt the organisation and large-language-model assisted workflows to optimise annotation and validation processes.
In-depth knowledge of ethical AI practices and compliance frameworks.
How We Partner To Protect You: the organisation will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of the organisation.
DEI: In the organisation we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. the organisation is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.
We invite you to explore all the organisation career opportunities and apply through the provided URL
The organisation is an exceptional employer that prioritises a People First culture, offering competitive salaries and comprehensive benefits to ensure the well-being of its employees. With a strong commitment to professional growth and internal mobility, the organisation fosters an inclusive environment where diverse talents can thrive, particularly in the dynamic field of AI data quality management. Located in a vibrant tech hub, employees benefit from a collaborative work culture that embraces innovation and continuous improvement, making it a rewarding place to build a meaningful career.

Benefits: Enjoy competitive salaries, comprehensive benefits, and a strong focus on employee well-being.
Why this job: Be part of a People First culture that values innovation, growth, and community impact.
The organisation: Bachelor's degree in a technical field and 3+ years in data quality management required.
Other info: the organisation promotes diversity and inclusion, welcoming applicants from all backgrounds.
The predicted salary is between 43,000 - 72,000 £ per year.
About the organisation: the organisation is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, the organisation serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech.
The People First culture at the organisation has enabled the company to expand its workforce to approximately 45,000 employees globally. Presently, we have a presence in twenty-three locations across twelve countries, which include the Philippines, India, and the United States.
It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at the organisation understand that achieving growth for our partners requires a culture of constant motion, exploring new the organisation, being ready to handle any challenge at a moment’s notice, and mastering consistency in an ever-changing world.