AI Engineering Intern

COMMON SENSE MEDIASan Francisco, CA
1d$25 - $25Hybrid

About The Position

ABOUT Common Sense Media is a nonprofit organization giving kids, families, and schools the tools to make informed choices about media and technology. Families know us for our independent, age-based reviews of movies, TV shows, books, games, podcasts, and apps. Educators use our free curriculum and resources to plan lessons and integrate technology into their teaching practice. At our core, we are a children's advocacy group. We draw on original research, industry expertise, and community partnerships to advocate for laws and policies that help kids thrive. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunities to thrive. We hire and cultivate diverse teams of the best and brightest from all backgrounds, experiences, and perspectives. We offer a hybrid work model that combines at least 3 days in-office work and remote work opportunities, balancing operational effectiveness and collaboration. SCOPE The AI Engineering Intern sits at the intersection of engineering, product design, and applied AI. The intern will work closely with the Product, Design, and Engineering teams to prototype AI-powered tools and explore scalable ways of building interactive experiences for students. You will build multiple prototypes and create reusable frameworks that allow multiple interactive experiences to be developed efficiently and responsibly. The intern will work closely with cross-functional teammates to build, test, and iterate on early-stage AI solutions, with opportunities to explore AI-assisted workflows, rapid prototyping, and responsible AI design. You will integrate AI features through frontier model APIs, emerging agentic frameworks, and beyond. WHAT YOU'LL DO & LEARN Rapid Prototyping & AI Development Use modern AI development tools (e.g., Codex, Claude Code) to rapidly prototype AI-powered features. Build interactive AI experiences tailored for students to drive engagement with our curriculum and enhance learning outcomes. Explore how to architect scalable frameworks or platforms that support multiple interactive tools, not just one-off experiences. Engineering & Product Collaboration Partner with product managers, designers, and engineers to translate ideas into functional prototypes. Participate in fast, iterative development cycles focused on experimentation and learning. Help define technical requirements and implementation approaches for AI-driven features. Testing, Evaluation & Iteration Assist in user testing sessions with educators, students, and internal stakeholders to gather feedback. Evaluate AI outputs for quality, usability, safety, and alignment with Common Sense Media's values. Document experiments, insights, and lessons learned to build an internal knowledge base of effective AI development practices. WHAT WE'RE LOOKING FOR Rising junior, senior, or graduate student in computer science, engineering, AI, human-computer interaction, or a related field. Strong programming skills (Python, JavaScript, or similar). Interest in applied AI, rapid prototyping, and AI-powered product development. Curiosity about scalable system design and reusable architecture patterns. Comfort working in experimental, fast-moving environments. Strong problem-solving skills and a collaborative mindset. Passion for education, youth safety, or mission-driven technology. WHAT YOU'LL GAIN Hands-on experience building real-world AI prototypes in a mission-driven organization. Exposure to cross-functional product development processes. Experience designing responsible AI experiences for students. Opportunity to contribute to scalable AI systems that can power multiple educational tools. ADDITIONAL INFORMATION Reports To: Principal Engineer and Development Manager, Education Location: San Francisco, CA Duration: June 15–August 21, 2026 Pay: $25/hr, up to 40 hours/week This is a paid opportunity, and we will work with your clinical or internship office for school credit if necessary. Interns must be available to attend weekly educational Lunch & Learns, which are held every Wednesday from 12 p.m. to 1 p.m. (PT). Common Sense Media provides equal employment opportunities to all qualified individuals and prohibits discrimination and harassment of any type without regard to race, color, religion, sex, gender identity, sexual orientation, pregnancy, age, national origin, physical or mental disability, military or veteran status, genetic information, or any other protected classification or characteristic protected by federal, state, or local laws. Qualifications

Requirements

  • Rising junior, senior, or graduate student in computer science, engineering, AI, human-computer interaction, or a related field.
  • Strong programming skills (Python, JavaScript, or similar).
  • Interest in applied AI, rapid prototyping, and AI-powered product development.
  • Curiosity about scalable system design and reusable architecture patterns.
  • Comfort working in experimental, fast-moving environments.
  • Strong problem-solving skills and a collaborative mindset.
  • Passion for education, youth safety, or mission-driven technology.

Responsibilities

  • Use modern AI development tools (e.g., Codex, Claude Code) to rapidly prototype AI-powered features.
  • Build interactive AI experiences tailored for students to drive engagement with our curriculum and enhance learning outcomes.
  • Explore how to architect scalable frameworks or platforms that support multiple interactive tools, not just one-off experiences.
  • Partner with product managers, designers, and engineers to translate ideas into functional prototypes.
  • Participate in fast, iterative development cycles focused on experimentation and learning.
  • Help define technical requirements and implementation approaches for AI-driven features.
  • Assist in user testing sessions with educators, students, and internal stakeholders to gather feedback.
  • Evaluate AI outputs for quality, usability, safety, and alignment with Common Sense Media's values.
  • Document experiments, insights, and lessons learned to build an internal knowledge base of effective AI development practices.
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