About the AIDO Team
AIDO supports TikTok LIVE governance through market operations, quality management, and AI-enabled evaluation. Our Market and LLM teams are moving toward a more AI-driven, analytical, and scalable operating model. We are looking for interns to support day-to-day execution, improve data quality, and help build practical automation tools.
Interns will work with experienced team members on defined projects. These roles support delivery and experimentation, while full-time team members retain ownership of dataset strategy, quality-system design, model improvement decisions, and cross-functional alignment.
About the Role
Build and test lightweight AI agent prototypes and automation tools for operational workflows. You will work with the Market and LLM teams to translate repetitive tasks into practical, testable solutions, with team review before operational deployment.
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.
Responsibilities
- Map repetitive workflows and identify suitable opportunities for scripting, automation, or AI agent support.
- Develop lightweight prototypes for tasks such as data preparation, case organization, validation, and report generation.
- Connect approved tools and data sources through APIs or workflow automation platforms.
- Support prompt iteration and agent workflow testing using defined test cases and evaluation criteria.
- Investigate failures, document limitations, and improve output consistency with team guidance.
- Measure time savings, output accuracy, and manual-review needs to assess prototype value.
- Document setup, usage, and maintenance requirements, and follow data-access and security requirements.
Minimum Qualification(s)
- Currently pursuing an Undergraduate in computer science, software engineering, data science, or a related discipline.
- Basic understanding of APIs, structured data formats, and debugging.
- Hands-on familiarity with LLM tools and an interest in AI agents and workflow automation.
- Ability to break down operational problems, test solutions systematically, and explain technical work clearly in English.
Preferred Qualification(s)
- Experience with LLM APIs, agent frameworks, low-code automation platforms, or retrieval-based applications.
- Familiarity with Git, automated testing, logging, or simple user interfaces.
- A portfolio, coursework project, or personal tool demonstrating practical AI or automation development.