Job Purpose
About the Role
The AI Coordinator is an integral part of our Data Services team. They will play a key role in ensuring top-notch production for our AI projects and be responsible for providing quality and innovation assistance to our project management teams. As part of the Data Services Team, the AI Coordinator will help design, implement, and manage our quality strategy, including production workflows, data analysis, and tracking of production KPIs. Expertise evaluating AI-related skills and managing production Control processes will be essential for this role.
About RWS Train AI Data Services
Training or fine-tuning artificial intelligence (AI) requires data. LOTS of data. However, not just any data will do – our clients need responsible AI data that's targeted, accurate and reliable to ensure machine learning (ML) success. But preparing AI training data is a monumental task that can take up the vast majority of AI project time, leaving AI teams with precious little time to focus on developing, deploying and evaluating ML models. RWS Train AI helps our clients address this challenge head-on.
With a seamless blend of technological understanding and human intelligence, RWS Train AI provides complete, end-to-end data collection and content generation, data annotation or labelling, human-in-the-loop data validation and generative AI data services for all types of AI, in any language, at any scale, based on the principles of responsible AI. Today, Train AI supports four of the world's top five technology companies, enhancing the performance of their generative AI applications by providing services such as prompt engineering, response refinement and red teaming with locale-specific domain experts across a broad range of topic areas and educational levels.
Job Overview
Key Responsibilities
•Performing detailed task analysis, defining key quality drivers and necessary skills, developing efficient testing and onboarding methodologies for our Data Services vendors
•Managing end-to-end production Control processes and providing feedback to suppliers
•Report on delivered productivity and propose action plans for improvement
•Address client quality escalations and collaboration with suppliers for root cause analysis
•Implement quality improvement plans for underperforming suppliers
•Support data suppliers and provide timely answers to their queries
Skills & Experience
•Bachelor's degree and related experience
•Written and spoken English at advanced level
•Ability to resolve customer service and production issues in a professional and efficient manner
•Quality focus and detail oriented
•Knowledge of Microsoft Word, Excel, PowerPoint, G-Suite
•Multi-tasking and ability to work under time pressure
