The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Managing Data Labeling Ops for Success with Audrey Smith - #583
8 snips
Jul 18, 2022 
Join Audrey Smith, COO at MLtwist and expert in data labeling, as she navigates the intricacies of managing data labeling operations. She shares insights on whether to outsource or keep labeling in-house, and the commitments required for high-quality results. Discover the challenges of remote workforces and the ethical considerations that come with it. Audrey also discusses the evolving roles in data labeling, emphasizing the human element and career opportunities for non-technical individuals in tech. A thought-provoking conversation on the future of AI!
AI Snips
Chapters
Transcript
Episode notes
Audrey's Data Journey
- Audrey Smith's data labeling journey began by listening to French speakers talk to Siri.
- Her experience spans various companies like Google, Amazon, and Labelbox, working on diverse ML projects.
Crowded Labeling Landscape
- The data labeling space is crowded with various platforms and workforces.
- ML Twist aims to connect this ecosystem, offering flexibility for choosing the right tools.
Data Labeling Journey
- Starting data labeling requires finding the right tools, workforces, and formats, which takes time.
- Plan for continuous quality control, training, and task creation on your chosen platform.