About this role
As a Project Intern, you will contribute to impactful short-term projects and gain hands-on experience in a fast-paced, professional environment. This internship offers the opportunity to develop practical skills, apply your knowledge to real-world challenges, and explore your career interests.
Applications are reviewed on a rolling basis, so we encourage you to apply early.
About the Team: The Data Infrastructure & Business Insights (DIBI) team belongs to the Trust & Safety's Automation & Business Insights (ABI) department. We specialize in defining operational metrics, building scalable data infrastructure, delivering insights-driven performance reporting, and conducting cross-LoB business analysis. Our ultimate goal is to empower global moderation operations to thrive with quality, efficiency, and sustainability.
- Support the planning and execution of AI automation initiatives that improve the efficiency, quality, and scalability of Trust & Safety operations.
- Assist in designing, testing, and refining prompts for LLM-powered workflows and AI agent use cases.
- Analyze operational and AI model performance data, including metrics such as precision, recall, leakage, overkill, and human review quality, to identify improvement opportunities.
- Help evaluate prompt quality, business rules, and automation logic through experimentation and data analysis.
- Build dashboards, reports, and visualizations to monitor AI adoption, operational efficiency, and automation performance.
- Support pilot programs and A/B testing for new AI capabilities and summarize findings for stakeholders.
- Collaborate with Product, Engineering, and Operations teams to gather requirements and coordinate project activities.
- Document workflows, experiment results, best practices, and process improvements to support knowledge sharing across teams.
- Research emerging trends in Generative AI, AI agents, and operational automation to identify opportunities for future innovation.