About the role#
This internship focuses on the development and training of large language models (LLMs) to improve search safety. You will work at the intersection of content understanding and applied AI, transforming complex information into structured data that shapes model behavior and performance. This is a hands-on role where you will contribute to building the foundation for safer search experiences.
What you'll do#
- Build and maintain high-quality datasets and knowledge bases for LLM training initiatives.
- Design labeling frameworks and taxonomies to support large-scale, consistent data generation.
- Produce, review, and refine training data based on specific standards and evaluation criteria.
- Draft, test, and optimize prompts for various training and evaluation scenarios.
- Analyze model outputs to find gaps or biases and translate those findings into improved prompts.
- Interpret complex content across different domains to create structured training inputs.
- Perform quality reviews on datasets and labels to ensure consistency and logical soundness.
- Refine data standards and workflows based on project needs and model feedback.
What you'll need#
- Currently pursuing an Undergraduate or Master's degree in computer science, statistics, information management, data science, or a related field.
- Excellent English writing and communication skills, with the ability to produce precise content at scale.
- Strong analytical thinking and the ability to interpret complex text with high attention to detail.
- A strong interest in LLMs and the ability to quickly learn AI-related tools and workflows.
- A self-driven approach to handling large volumes of work with consistency.
- Preferred: Background in humanities, social sciences, foreign languages, or international relations.
- Preferred: Prior experience in content annotation, data labeling, or research assistance.
- Preferred: Experience interacting with LLMs through prompt engineering or evaluation projects.
Location & details#
- Location: San Jose, California.
- Term: Summer 2027.
- Modality: On-site.
- Compensation: $25 per hour.
- Employment: Full-time intern.
About TikTok
TikTok operates as an entertainment provider. The company maintains a global presence with offices in cities including Los Angeles, Singapore, New York, London, and Tokyo. It employs over 92,000 people. The organization is privately held.
How to get in at TikTok
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