Also called: AI Data Specialist (Math), Math Expert for AI Training
Writes and checks hard math problems and solutions used to train and test AI models.
From home, you write challenging proof problems, grade an AI's step-by-step answers, and explain its mistakes. Pay is often hourly and can be high for PhD-level experts.
Usually contract work; hourly rates vary widely by expertise.
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 or graduate degree in math; strong problem-solving.
Ways in: 4-year college, Graduate school. Training cost: $15k – $60k.
Majors to look at: Mathematics, Physics, Computer Science.
Growing faster than average. New and uncertain field.
High risk for 10 years. AI models increasingly check and generate their own training problems; this short-term gig work is likely to shrink.
Classes: AP Calculus BC, Proof-based math, English composition.
Official data: O*NET occupation 15-2099.
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.