- Company Name
- Columbia Forest Products
- Job Title
- AI and Innovation
- Job Description
-
Job title: AI and Innovation Intern
Role Summary: Assist in accelerating responsible AI adoption by testing tools, developing use cases, providing daily support, and optimizing processes across business functions.
Expectations: Deliver clear documentation, prototype proof‑of‑concepts, user support, and insights to drive effective AI integration while maintaining data privacy and operational standards.
Key Responsibilities:
- Design and execute structured test cases using approved AI tools (e.g., copilots, automation, content generation models).
- Document outcomes, accuracy, performance, and limitations; compare tools to recommend best fit for workflows.
- Identify high‑value processes with Operations, IT, Sales, Marketing, and Manufacturing; translate challenges into defined AI use cases.
- Build small‑scale prototypes to demonstrate proof‑of‑concept value; collect user feedback and measure early adoption.
- Serve as employee resource for AI tool queries, troubleshooting, and best‑practice guidance.
- Create how‑to guides, onboarding materials, and training documentation.
- Promote responsible AI use aligned with company guidelines: data privacy, accuracy, and boundary setting.
- Map existing workflows to identify AI‑driven simplification, automation, or acceleration opportunities.
- Maintain centralized library of test cases, use cases, examples, and lessons learned; track adoption patterns and report insights to leadership.
Required Skills:
- Strong curiosity and knowledge of AI, automation, machine learning, and emerging technologies.
- Proficiency with generative AI tools (ChatGPT, Gemini, DALL‑E).
- Familiarity with agents, bots, and multi‑channel platforms (MCP) a plus.
- Excellent written communication and ability to translate technical findings for non‑technical audiences.
- Comfortable with iterative experimentation and quick learning.
Required Education & Certifications:
- Currently pursuing a degree in Information Systems, Computer Science, Data Science, Business Analytics, Engineering, or related field.
- No mandatory certifications required.