AI Quality Coordinator

About the role

The AI Quality Coordinator joins the Data Services team to ensure high‑quality outcomes for AI projects. Working within the Train AI Data Services Team, you will support the management’s quality strategy through QA workflows, data analysis, and KPI tracking.

Key responsibilities

• Implement and maintain quality frameworks, metrics, and strategies for Data Services projects.
• Conduct detailed task analysis to identify key quality drivers and required vendor skills.
• Develop efficient onboarding and training methodologies for data service vendors.
• Provide feedback to stakeholders, handle client quality escalations, and perform root‑cause analysis.
• Support improvement plans for under‑performing locales and vendors.
• Answer data stakeholder queries promptly and evaluate vendor performance.
• Drive a robust auditor program, including training and skill‑evaluation solutions.
• Collaborate with Solutions Architects to visualise quality metrics.
• Stay current on AI industry trends and contribute to new opportunities.

Required profile

• Previous experience rolling out quality data management and analysis.
• Educational background in Statistics, Psychology, Sociology, Cognitive Science, Data Analytics, Linguistics, or equivalent AI quality experience.
• Experience with data collection quality, annotation, or evaluation tasks.
• Strong communication skills and ability to collaborate remotely.
• Fluent English; additional languages are a plus.

Required skills

• Power BI
• Excel
• Google Spreadsheet