AI Automation Project Intern (TnS-OPS-Automation & Business Insights) - 2026 Start

Description

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.

Requirements

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.