What are the responsibilities and job description for the Temporary Post Graduate Assistant position at University of Colorado Boulder?
Summary
Job Summary
Under the oversight and guidance of the faculty supervisor, develop and build an AI-powered sales simulation platform for an undergraduate course at Leeds School of Business. The platform uses LLM-based buyer personas, automated feedback, and a CRM-style dashboard to let students practice the full B2B sales cycle.
CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.
Who We Are
At Leeds, we have an outstanding vantage point, and while we’re located at the foot of the Rocky Mountains, we’re not talking about the scenery. Set in the heart of Boulder, Colorado—one of the nation’s most vibrant business communities—Leeds offers unparalleled access to world-changing entrepreneurs, national research institutions and award-winning faculty!
Responsibilities
What Your Key Responsibilities Will Be
The hiring rate for this position is $25 per hour.
Benefits
Temporary positions at the University of Colorado are not benefits-eligible, however, all positions are eligible for paid sick leave .
Be Statements
Be ambitious. Be pioneering. Be Boulder.
What We Require
To Apply, Please Submit The Following Materials
Please apply by June 8, 2026 for consideration.
Note: Application materials will not be accepted via email. For consideration, please apply through CU Boulder Jobs.
In compliance with the Colorado Job Application Fairness Act, in any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Job Summary
Under the oversight and guidance of the faculty supervisor, develop and build an AI-powered sales simulation platform for an undergraduate course at Leeds School of Business. The platform uses LLM-based buyer personas, automated feedback, and a CRM-style dashboard to let students practice the full B2B sales cycle.
CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.
Who We Are
At Leeds, we have an outstanding vantage point, and while we’re located at the foot of the Rocky Mountains, we’re not talking about the scenery. Set in the heart of Boulder, Colorado—one of the nation’s most vibrant business communities—Leeds offers unparalleled access to world-changing entrepreneurs, national research institutions and award-winning faculty!
Responsibilities
What Your Key Responsibilities Will Be
- Under the oversight and guidance of the faculty supervisors, build and implement LLM-powered conversation pipelines for AI buyer personas using OpenAI GPT-4 API.
- Build automated feedback and evaluation systems using structured prompts and rubric-aligned scoring.
- Develop and maintain the web platform including a student-facing CRM dashboard and instructor analytics view.
- Design and lead the database schema for user data, transcripts, rubric scores, and persona configurations. Integrate AI-assisted development tools into the build workflow.
- Conduct internal testing and iterate based on pilot feedback. Support data collection during classroom implementation including survey administration and behavioral data analysis. Document platform architecture for replicability.
- This is a part-time, temporary role. Weekly schedule will be flexible and determined by teams needs.
The hiring rate for this position is $25 per hour.
Benefits
Temporary positions at the University of Colorado are not benefits-eligible, however, all positions are eligible for paid sick leave .
Be Statements
Be ambitious. Be pioneering. Be Boulder.
What We Require
- Positions at this level typically require a bachelor’s degree or equivalent combination of education and experience may substitute.
- Strong proficiency in Python. Experience building end-to-end AI or ML systems.
- Familiarity with LLM APIs (OpenAI, Anthropic, or similar).
- LLM pipeline development: prompt engineering, conversation management, structured output parsing.
- Python back-end development and data processing.
- API integration.
- Database design (Supabase, Firebase, or PostgreSQL).
- Data analysis and visualization.
- Clear communication and ability to work independently.
- Adaptable with evolving requirements.
- Master's degree in data science, computer science, information technology, or a related field.
- Experience with database design and management.
- Experience with NLP techniques and frameworks (SpaCy, HuggingFace, or similar).
- Experience building web applications or dashboards (React, Next.js, or similar).
- Familiarity with AI agent design and workflow automation.
- Experience with cloud deployment (Vercel, AWS, or similar).
- Interest in education technology or AI-enhanced learning.
- Experience with data collection or learning analytics.
To Apply, Please Submit The Following Materials
- A current resume.
- Optional: A cover letter that specifically tells us how your background and experience align with the requirements, qualifications, and responsibilities of the position.
Please apply by June 8, 2026 for consideration.
Note: Application materials will not be accepted via email. For consideration, please apply through CU Boulder Jobs.
In compliance with the Colorado Job Application Fairness Act, in any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Salary : $25