Ticket Levels Chart

Ticket Levels
Full Stack:


Data Science & AI (increasing levels of autonomy in decision-making):
Level I:
analyzing whether an AI/ML system gave good or bad responses
ability to make a change to data set or libraries in the context of a bigger research prototype or experiment
Prompt engineering
Basic data cleaning

Level II:
Open-ended analysis - determining good/bad categories of responses
ability to implement a research prototype
Using examples to do prompt engineering

Level III:
ability to organize & run an experiment, analyze & summarize conclusions, and propose actionable outcomes (plan of action)
Create & implement feedback loops for prompt engineering
Data sourcing (extraction & creation of the data set)

Level IV:
Systems design & production deployment considerations
Multimodal with an LLM
Optimizing Chunking
Automated prompt engineering

Level V: Multimodal with traditional ML