Search Safety Operations Intern（TikTok-Platform Responsibility-Search）- 2027 Summer

Our Safety Product team is at the forefront of building and optimizing content safety systems. With a focus on advancing content safety, we leverage advanced large language models to enhance review efficiency, risk control, and user trust. Working closely with business and technical stakeholders, we deliver scalable solutions that keep pace with rapid global growth.

About the role

We are seeking a passionate and detail-oriented Search Safety PM Intern to join our team and play a pivotal role in safeguarding the health and security of our search business. Your core mission will be to support the development and training of next-generation large language models. In this role, you will work closely with the team to build high-quality training resources, design effective prompts, and generate large-scale labeled datasets that directly power model learning and performance. This position sits at the intersection of content understanding, language, and applied AI. You will leverage strong analytical thinking and language skills to transform complex real-world content into structured, high-quality training data for LLMs. Your work will play a foundational role in shaping model behavior, alignment, and real-world usability.

Responsibilities

• LLM Training Data & Knowledge Base Development
  • Training Corpus Construction: Assist in building and maintaining high-quality datasets and knowledge bases for new LLM training initiatives, ensuring accuracy, diversity, and contextual richness.
  • Label System Design & Scaling: Help design labeling frameworks and taxonomies, and generate large-scale, high-consistency labeled datasets to support supervised and reinforcement learning workflows.
  • Data Generation & Curation: Produce, review, and refine large volumes of training data based on defined standards, use cases, and evaluation criteria.
• Prompt Design & Model Interaction
  • Prompt Writing & Optimization: Draft, iterate, and optimize prompts for different training and evaluation scenarios, ensuring clarity, coverage, and alignment with model objectives.
  • Model Behavior Analysis: Analyze model outputs to identify gaps, biases, or failure patterns, and translate insights into improved prompts or data requirements.
  • LLM Familiarity & Application: Apply a strong understanding of LLM capabilities and limitations to design data and prompts that meaningfully improve model performance.
• Content Understanding & Quality Assurance
  • Content Interpretation: Deeply understand complex content across domains, identify key signals, intent, and nuances, and convert them into structured training inputs.
  • Quality Control: Conduct quality reviews on datasets, labels, and prompts, ensuring consistency, logical soundness, and adherence to guidelines.
  • Iteration & Improvement: Continuously refine data standards and workflows based on model feedback and project needs.

Qualifications

• Minimum Qualifications
  • Currently pursuing an Undergraduate/Master's in computer science, statistics, information management, data science or a related discipline.
  • Strong Content Sensitivity & Analytical Thinking: Excellent ability to understand, interpret, and structure complex textual content, with high attention to detail and nuance.
  • Outstanding English Proficiency: Exceptional English writing and communication skills, with the ability to produce clear, precise, and logically structured content at scale.
  • LLM Awareness & Learning Agility: Strong interest in large language models, with the ability to quickly learn AI-related concepts, tools, and workflows and apply them in practice.
  • Ownership & Execution Ability: Highly responsible, self-driven, and capable of handling large volumes of work with consistency and quality.
• Preferred Qualifications
  • Humanities / Social Sciences Background: Currently pursuing or recently completed a major in humanities, social sciences, foreign languages, international relations, or related fields.
  • Prior experience in content annotation, data labeling, research assistance, or AI-related operations.
  • Experience interacting with LLMs (e.g., prompt engineering, evaluation, or content generation projects).

Benefits

• Day one access to health insurance, life insurance, and wellbeing benefits.
• 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).
• Eligibility for housing allowance if not working 100% remote.

Pay

The hourly rate range for this position is $25–$25.