Noah Schliesman
LLM Annotator @ DataAnnotation
- Role
- Data Annotator at DataAnnotation
- Location
- San Diego, CA, US
- LinkedIn followers
- 500 followers
About Noah Schliesman
I’m Noah Schliesman, a MSEE student at SDSU aiming to specialize in Signal Processing. I recently graduated from the University of San Diego in EE with minors in Computer Science and Math. I currently work as a Data Annotator for Data Annotation, where I perform audits of major LLM responses for complex topics in mathematics, computer science, and other STEM fields. From 2023 to 2024, I collaborated with Dr. Kathleen Kramer to use neural networks in Kalman filtering to measure uncertainty and denoise signals. Before that, I served as a teaching assistant for courses in PDEs, linear algebra, and complex analysis. I’ve had the pleasure of working as an engineering intern with Open Avenues, where I designed a PMSM motor speed/current controller and analyzed Tesla Model 3 collision data. I’m a lifelong learner, so please don\'t hesitate to reach out about anything!
Experience
Data Annotator
Jan 2025 — Present
Performed 500+ audits of major LLM responses for complex math, computer science, and other STEM fields.
Education
University of San Diego
Bachelor of Arts/Science Engineering - BA/BS (Dual Degree), Electrical and Electronics Engineering
San Diego State University
Master of Science, Electrical and Electronics Engineering
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