From client conversation to project brief
How an AI data need is translated into clear objectives, constraints, and a workable project brief.
How AI Training Projects Are Built Behind the Scenes
Go behind the scenes of AI training data projects—from the first client conversation and project brief to the moment annotators begin the work.
Speaker
- Emily Dix — Strategic Project Lead, Appen
About this event
human depth
AI training data projects do not begin when an annotator opens a task. Before work reaches contributors, someone has to understand the client’s goal, translate it into a workable brief, and design a process that people can actually follow.
In this live Human Depth conversation, our guest will take us behind the scenes of that process—from the first client conversation and project brief to annotators beginning the work. We’ll explore the decisions connecting each stage, the context contributors rarely get to see, and why projects are structured the way they are.
This session is for AI trainers, annotators, reviewers, project leads, and anyone curious about how human data projects move from an idea into execution. The conversation will close with a live Q&A.
Agenda
Designing the project behind the task
The workflow decisions made before work reaches annotators—and why those choices matter.
When annotators begin the work
What happens as a project moves into delivery, including the context contributors often cannot see from the task interface.
Live Q&A
Questions about AI training data workflows, annotation projects, and the decisions behind how the work is organized.
