Student AI Tutor Developer
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Job Location:
Lawrence, KS - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
30%- Copilot Tutor Agent Development
- Design and build AI tutor agents using advanced conversational AI frameworks.
- Implement features that support personalized learning and adaptive feedback for students.
25%- Prompt Engineering
- Develop test and optimize prompts to improve AI accuracy and relevance.
- Collaborate with team members to ensure prompts align with educational objectives.
20%- Evaluation Instruments & Pilot Testing
- Create assessment tools to measure AI tutor effectiveness.
- Conduct pilot testing and analyze results to refine system performance.
15%- Resource Curation & Integration
- Identify and integrate high-quality educational resources into the AI tutor platform.
- Ensure seamless alignment with curriculum standards and learning goals.
10%- AI Literacy Modules & Documentation
- Develop short modules to help students understand and effectively use AI tools.
- Maintain clear and comprehensive documentation for processes tools and best practices.
Disclaimer
The University of Kansas prohibits discrimination on the basis of race color ethnicity religion sex national origin age ancestry disability status as a veteran sexual orientation marital status parental status gender identity gender expression and genetic information in the universitys programs and activities. Retaliation is also prohibited by university policy. The following person has been designated to handle inquiries regarding the nondiscrimination policies and is the Title IX coordinator for all KU and KUMC campuses: Associate Vice Chancellor for Civil Rights and Title IX Room 1082 Dole Human Development Center 1000 Sunnyside Avenue Lawrence KSTTY.
Work Schedule
6-10 hours per week
Contact Information to Applicants
Ben Allen
- Minimum 1 year of experience with R or Python programming with the ability to write clear minimal reproducible examples and perform basic validation checks as demonstrated in application materials.
- Experience with core machine learning concepts and their practical applications.
- Experience creating clear and user-friendly documentation for technical tools or processes.
- Experience using Copilot or other large language models (LLMs) for code assistance and development tasks.
Position Overview
This student hourly position supports the creation of an AI tutor for machine learning courses using KUs Microsoft Copilot environment. The AI tutor will provide coding support debugging and conceptual understanding. The role also helps adapt online AI Literacy modules.
Additional Candidate Instruction
In addition to the online application please provide the following:
- Resume
- Cover Letter detailing your qualifications
- Provide an example of a timeyou debugged a coding issue. What steps did you take
- Provide a schedule of your weekly availability through Dec 20th 2025.
Position Requirements
During the semester term of the appointment the student hourly must be enrolled in no fewer than 6 credit hours. For summer periods the student hourly must: (1) have been enrolled in no less than 6 hours in the past spring semester or (2) be pre-enrolled in the upcoming fall semester in no less than 6 hours or (3) be enrolled in summer session or (4) be admitted to study in the upcoming fall semester. Student Hourlies may be undergraduate or graduate students. (Exceptions granted for GRA/GTA/GA appointments DO NOT apply to Student Hourly appointments).
Employment Conditions
(1) Student employees are not eligible for remote work arrangements unless an exception is approved by the unit leadership and HR.
(2) This is an hourly/non-exempt position. A student employee cannot hold an hourly/non-exempt position and a salaried/exempt graduate or undergraduate position (GRA/GTA/GA/RUA/RGA) concurrently.
Key Skills
- Children Activity
- Maitre
- Dos
- Litigation Attorney
- Big Data
- Activex
About Company
Thank you for your interest in employment with the University of Kansas. If you need assistance with the application process please contact Human Resources at [email protected] or 785-864-4946.
