AI Quality Coordinator

RWS Group•Colorado Springs, CO

1d•Remote

About The Position

AI Quality Coordinator is an integral part of our Data Services team. You will play a key role in ensuring top-notch quality for our AI projects. As part of the Train AI Data Services Team, you will help to support our management with our quality strategy. This includes QA workflows, data analysis, and tracking of quality KPIs. Your data service expertise in AI Data Quality will be essential to our success. About Enterprise Services The RWS Enterprise Services enables customers to reach their markets in any language and scale. We provide a wealth of services including localization, data services, testing, video, consulting and much more. Our global team of localization and technical experts work closely with customers building lasting partnerships that help make their products and services reach and resonate with their end users. It is a fast-paced and exciting business with many opportunities to work on state-of-the-art products and services for some of the world’s most innovative businesses.

Requirements

Previous experience rolling out quality data management and analysis is needed
Experience with Data Collection Quality, Annotation and/or evaluation tasks
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
Fluent English – you will be working as a part of an international team and English is our work language.

Nice To Haves

Educational background in Statistics, Psychology, Sociology, Cognitive Science, Data Analytics, or matching workforce experience in AI Quality Data is preferred
Power BI skillset is preferred
Experience dealing with vendor management is preferred
Advanced skills in Excel/Google Spreadsheet preferred
Knowledge of other languages is not needed but welcomed.

Responsibilities

Help to define and support suitable quality frameworks, metrics, and strategies of Data Services projects.
Perform detailed task analysis, defining key quality drivers and necessary skills, develop efficient and onboarding methodologies for our Data Services Vendors.
Provide feedback to team/stakeholders.
Support client quality escalations and collaborate with the team for root cause analysis.
Support quality improvement plans for underperforming locales and vendors.
Support data stakeholders and provide timely answers to their queries.
Evaluate vendors and offer feedback with 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.