Support a startup helping students to learn science 🔬

SciQuiry is an AI-powered adaptive science platform that personalizes learning for every student while helping teachers identify struggling students early.

Education faces a global crisis with a shortage of 69 million K-12 teachers, particularly in STEM subjects where 45% of US schools struggle to fill teaching positions. This shortage creates an early warning gap where struggling students remain unidentified until they've fallen significantly behind in their academic journey. Science teachers often manage 24+ students with insufficient time for personalized support and early intervention. These challenges disproportionately affect underserved communities and displaced populations, where educational continuity is frequently disrupted during crises, widening achievement gaps in critical STEM subjects and limiting future opportunities.

SciQuiry addresses these challenges through an AI-powered adaptive science learning platform that serves both students and educators. Our technology personalizes learning for each student with dynamically adjusted questions based on performance, while simultaneously providing teachers with real-time insights to identify struggling students early. The platform automates routine assessment tasks, giving educators more time for meaningful instruction and targeted support. For refugee and displaced communities, our "Science Without Borders" initiative provides free platform access with minimal technology requirements to ensure educational continuity regardless of location or circumstances.

Role (Volunteer): Full-Stack Developer.

Role Description: We are seeking an experienced full-stack developer to enhance our AI-powered adaptive science learning platform. Working with our existing AWS infrastructure, you'll build features that directly impact educational outcomes.

Key projects include enhancing real-time analytics for teachers and building responsive frontend components for improved user experience. You'll help optimize performance and implement new adaptive learning features as our platform continues to scale.

Ideal candidates have experience with TypeScript, AWS services, GraphQL, and educational or SaaS platforms. Familiarity with serverless architecture and real-time data processing is highly valued.

Time Commitment: Volunteer 7-9 hours per week for 3-5 months remotely 💻

If you want to make change, apply to volunteer with SciQuiry!