Also called: Evals Engineer, Model Quality Engineer
Designs the tests and benchmarks that measure how smart, accurate, and safe an AI model is.
You build a test set of 2,000 hard math problems and a system that grades AI answers automatically. When a new model comes out, your numbers decide whether it ships.
Estimate.
Approximate: anchored on Bureau of Labor Statistics data for a broader job group.
Bachelor's degree (4-year), about 4 years after high school. Bachelor's in CS, math, or a domain field.
Ways in: 4-year college, Graduate school. Training cost: $15k – $60k.
Majors to look at: Computer Science, Statistics, Linguistics.
Growing much faster than average. Fast-growing as AI quality becomes critical.
Medium risk for 10 years. AI models now grade other AI, automating much eval work; designing what to measure and spotting failures stay human.
Classes: AP Statistics, AP Computer Science A, AP Calculus.
Official data: O*NET occupation 15-1252.
Career Universe is an early version. Pay, training and AI-risk figures are estimates to start your own research, not verified facts. The research was written with AI research assistants, checked by validation scripts and spot-checked by hand. Check anything important with schools, employers and official sources. How the numbers work.