Research Assistant - AI Patent Classification Project

Oregon State University

Oregon State University

Software Engineering, Data Science
Oregon, USA · Corvallis, OR, USA
USD 15.05-21.5 / hour
Posted on Dec 2, 2025
Position Information
Job Title Research Assistant – AI Patent Classification Project
Appointment Type Student Employee
Job Location Corvallis
Position Appointment Percent 100
Appointment Basis 12
Pay Method Hourly
Pay Period 16th - 15th of the following month
Pay Date Last working day of the month
Remote or Hybrid option?
Min Hourly Rate $15.05 (Standard); $14.05 (Non-Urban); $16.30 (Portland Metro)
Max Hourly Rate $21.50 (Standard); $19.50 (Non-Urban); $22.00 (Portland Metro)
Position Summary
This recruitment will be used to fill one (1) part-time (a maximum of 24 hours per week) Research Assistant for the School of Entrepreneurship, Management, and Logistics at Oregon State University (OSU).

This position supports a research project analyzing how AI technologies evolve by classifying large volumes of patent documents into architectural categories. The research assistant will help construct high-quality training data through manual review of selected patents and will implement machine-learning models—specifically BERT-based text classifiers—to automate large-scale patent labeling. The role includes preparing data, training and validating the model, and running the final classifier across the full patent corpus to generate research-ready labels.
Pay rate for this position is $16.05 per hour.
Transferable Skill Development
Position Duties
30% Manual inspection and coding of patent text to classify architectural types.
70% Assisting with model development, including preparing training data, implementing BERT-based classifiers, and running code under faculty guidance.
Minimum Qualifications
  • Must be academically enrolled in a high school, community college, or university and pursuing a program or course of study
  • Must meet Academic Standing Requirements; students on academic suspension are not eligible for employment
  • Must meet the applicable minimal enrollment standard
    • High School student: Regularly enrolled in a high school or participating in a home-schooling program
    • Undergraduate and post-baccalaureate student: 6 credit hours per term
    • Undergraduate international student: 12 credit hours per term*
    • Graduate student officially admitted to Graduate School: 5 credit hours per term
    • Graduate international student officially admitted to Graduate School: 9 credit hours per term*

*International students may be allowed to carry fewer hours than specified above and still be considered “full-time” by the United States Citizenship and Immigration Services (USCIS). A reduced course load is approved by the Office of International Services (OIS), and must be provided to the Student Employment Center.
Additional Required Qualifications
Strong English reading and comprehension skills; demonstrated programming ability (Python and R).
Preferred (Special) Qualifications
Interest in research related to artificial intelligence, machine learning, or technological innovation. A graduate student in computer science, especially AI, is a plus.
Working Conditions / Work Schedule
Work can be performed remotely. Expected workload is approximately 10–15 hours per week during Winter 2026, with flexibility based on project needs.
Posting Detail Information
Posting Number P12645SE
Number of Vacancies 1
Anticipated Appointment Begin Date 12/15/2025
Anticipated Appointment End Date 03/31/2026
Posting Date 12/01/2025
Full Consideration Date 12/04/2025
Closing Date 12/12/2025
Indicate how you intend to recruit for this search Competitive / Student - open to ALL qualified/eligible students
Special Instructions to Applicants
When applying you will be required to attach the following electronic documents:
● A Resume
● A Cover Letter
For additional information please contact: Jiyao Chen at jiyao.chen@oregonstate.edu
We are an Equal Opportunity Employer, including disability, protected veteran, and other protected status.
OSU will conduct a review of the National Sex Offender Public website prior to hire.
Note: All job offers are contingent upon Human Resources final approval