Computer Science Data Support Intern
Job title: Computer Science Data Infrastructure Support Intern
Location: In person, Novelty, Ohio
Duration: 11–12 weeks (May–August 2025)
Hours: 35–40 hours/week
Type: Paid Internship, $20.00/hour
What Interns Will Work On:
Interns will have the opportunity to contribute to a variety of impactful projects, such as:
Data Vectorization and Standardization
- Develop scripts (Python, etc.) to process and standardize materials data
- Create and maintain automated data pipelines
- Refine data cleaning and transformation algorithms
OCR and Text Processing
- Improve OCR accuracy for materials science documents
- Develop NLP techniques for extracting structured information
- Build and manage datasets for training and testing models
API & AI Development and Integration
- Support integration of data APIs with internal/external systems
- Help research and develop a chatbot interface
- Generative AI Proof of Concept:
- Assist with prompt engineering for alt text generation
- Build APIs to connect with generative AI models
UI Platform Support (Potential)
- Contribute to front-end development for a potential UI platform update
- Support testing, debugging, and documentation of UI components
What You’ll Learn:
- Practical data engineering techniques
- API development and integration best practices
- NLP and OCR skills for unstructured data
- Real-world database management experience
- Software development methodologies in a team setting
- Exposure to AI chatbot interfaces
- Hands-on work with generative AI and prompt engineering
- If applicable, experience with modern UI frameworks
Who We’re Looking For:
- Junior or Senior student enrolled for Fall 2025 in Bachelor of Science (B.S.) in Computer Science
- Junior or Senior student enrolled for Fall 2025 in Earned Bachelor of Science (B.S.) in Data Science
- Programming experience (Python preferred)
- Familiarity with OpenAPI, WordPress, or similar tools is a plus
- Interest in AI/ML, data engineering, and software development
- Strong problem-solving skills and attention to detail
- Eagerness to collaborate and contribute in a team environment