60,000+
STEM Educators
Our Educators
Behind every data point is a real expert. Our network of 60,000+ STEM educators (professors, Ph.D. researchers, and experienced teachers) is what makes Numerade's data uniquely accurate, pedagogically rich, and trusted by leading AI labs.
10M+
College-educated Generalists
50+
STEM Disciplines
5M+
Videos Created
Featured educators
A sample of the experts creating the data that trains frontier AI models.
Dr. David Collins
Ph.D., Brigham Young University
Organic ChemistryBiochemistryAnalytical Chemistry
5,000+ video solutions
Dr. Sam Stansfield
Ph.D., Case Western Reserve University
Atomic PhysicsQuantum MechanicsSpectroscopy
3,100+ video solutions
Dr. Nicole Smina
Ph.D., New York University
Theoretical ChemistryQuantum ChemistryComputational Chemistry
1,800+ video solutions
Dr. Kim Pham
Ph.D., California Institute of Technology
Organic ChemistryBiochemistryAnalytical Chemistry
2,600+ video solutions
Prof. Donna Densmore
M.S., Louisiana State University
Elementary MathematicsCalculus
1,500+ video solutions
Dr. Aswin Narayan
Ph.D., Massachusetts Institute of Technology
Applied MathematicsNumerical AnalysisOptimization
2,000+ video solutions
Who our educators are
A diverse, credentialed workforce spanning every level of STEM expertise, all based in the U.S. and verified for domain competence.
40%
Professors & Lecturers
Active and emeritus faculty from top universities who bring years of classroom teaching experience and deep domain expertise.
25
Graduate Researchers & TAs
Ph.D. candidates and master's students actively working at the frontier of their fields, with hands-on teaching experience.
35%
Experienced STEM Teachers
High school AP and IB teachers, community college instructors, and professional tutors with proven track records.
How the workflow works
From expert matching to structured output: a quality-first pipeline that turns educator knowledge into AI training data.
01
Expert matching
Educators are matched to tasks by verified credentials, subject expertise, and track record. A quantum mechanics problem goes to a physicist, not a generalist.
02
Content creation
Educators record step-by-step video solutions, drawing visual aids and narrating their reasoning in real time, the same way they'd teach a student.
03
Multi-layer QA
Every piece of content goes through automated checks and peer review by other domain experts, ensuring accuracy, clarity, and pedagogical quality.
04
Structured output
Approved content is processed into training-ready formats (transcriptions, keyframes, Q&A pairs, and metadata) and added to the dataset pipeline.
Scale your data with real expertise
Whether you need thousands of expert-verified Q&A pairs, domain- specific visual reasoning data, or a custom annotation workforce, our educator network can scale to meet your needs.