AI Quality Coordinator
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. At RWS, we enable the world’s largest enterprises to communicate with global audiences through cutting-edge language technology, AI-driven solutions, and expert services. Our RWS Transform division empowers organizations to accelerate digital transformation, scale global content, and unlock growth in every marke
Requirements
- Previous experience rolling out quality data management and analysis is needed at least one year
- 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.
Benefits
- Total compensation may also include variable incentives, bonuses, benefits, and/or other perks, as outlined in any formal offer made.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees
