Ensure top-notch quality for AI projects as part of Train AI Data Services team
Support quality strategy including QA workflows, data analysis, and tracking quality KPIs
Help define and support suitable quality frameworks, metrics, and strategies for Data Services projects
Perform detailed task analysis, define key quality drivers and necessary skills, develop onboarding methodologies for Data Services vendors
Provide feedback to team and stakeholders and support client quality escalations with root cause analysis
Support quality improvement plans for underperforming locales and vendors
Support data stakeholders and provide timely answers to queries
Evaluate vendors and offer feedback and training on error trends
Support and help drive a robust auditor program with training
Collaborate with Solutions Architects to develop skill evaluation solutions and visualize quality metrics
Stay updated on AI industry trends and contribute to new opportunities
Requirements
Previous experience rolling out quality data management and analysis is needed
Educational background in Statistics, Psychology, Sociology, Cognitive Science, Data Analytics, or matching workforce experience in AI Quality Data is preferred
Experience with Data Collection Quality, Annotation and/or evaluation tasks
Power BI skillset is preferred
Experience dealing with vendor management is preferred
Very good communication skills
Ability to collaborate remotely to help solve day to day tasks
Ability to manipulate data, with skills in Excel/Google Spreadsheet required; Advanced skills preferred
Fluent English (work language); knowledge of other languages welcomed