SubjectToClimate
IT Fellow - Data and AI Integration
This position requires additonal materials. To Apply: Please visit https://forms.gle/LD9tFM5KemCRzhEq8 to fill out an application and work sample. Only applicants who complete a work sample will be considered!
About the Organization
SubjectToClimate (StC) is a free platform with teacher-designed lesson plans, curated resources, and professional development opportunities to enable all K-12 educators to easily integrate climate change into what they already teach.
At SubjectToClimate, we value a diverse, equitable, and inclusive work environment where every team member can feel a sense of belonging. As such, we strive to employ best practices in employment decisions without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, marital status, medical condition, or any other basis protected by federal, state, or local law
Fellowship Description:
We’re seeking a mission-driven Data Intern with strong Python skills and an interest in AI, automation, and data analytics. This intern will support high-priority strategic initiatives across multiple departments—including Marketing, Product, and Content—while reporting directly to the COO. You’ll play a key role in advancing our data systems, supporting AI research and integration, and improving internal workflows.
This is a cross-functional opportunity for someone eager to apply and grow technical skills in a fast-paced, purpose-driven nonprofit environment.
Qualifications:
Build and maintain Python scripts (in Google Colab) to support data cleaning, analysis, and automation tasks.
Assist in AI integration efforts—researching tools, organizing test findings, and building early-stage prototypes.
Analyze and pull structured data (e.g., user accounts, engagement metrics) for decision-making support.
Document findings, data structures, and processes to ensure clarity across teams.
Support backend logic for search, filters, and entity mapping in collaboration with Product.
Respond to data-related requests from the Marketing, Product, and Content teams.
To Apply: Please visit https://forms.gle/LD9tFM5KemCRzhEq8 to fill out an application and work sample. Only applicants who complete a work sample will be considered!
Time Commitment: 10-30 hours / week