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 Automation Team works closely with Product, Engineering, Algorithms, Operations, and other departments to strategically drive moderation automation and AI initiatives and maximize impact and ensure goal attainment.
-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.
Minimum Qualifications -Currently pursuing a Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, Artificial Intelligence, Engineering, Business Analytics, or a related field. -Strong analytical and problem-solving skills with the ability to interpret data and generate actionable insights. -Excellent communication and collaboration skills with the ability to work effectively in cross-functional teams. -Ability to manage multiple tasks in a fast-paced environment with strong attention to detail. -Demonstrated interest or hands-on experience with Large Language Models (LLMs), Generative AI, AI agents, or Machine Learning applications. -Familiarity with prompt engineering, prompt evaluation, or AI workflow design through coursework, personal projects, hackathons, or internships. -Understanding of AI evaluation concepts such as precision, recall, hallucination, leakage, overkill, or model performance metrics is a plus.
Preferred Qualifications -Experience using APIs, workflow automation tools, or AI development platforms. -Knowledge of data analysis and visualization tools (e.g., SQL, Excel, Tableau, Power BI, or Python). -Interest in Trust & Safety, content moderation, risk management, or large-scale online platform operations. -Exposure to Retrieval-Augmented Generation (RAG), agentic AI frameworks, or AI evaluation frameworks is an advantage.