Ecosystem Analytics Intern (Live Content)

TikTok; Los Angeles (CA); On-site; USD 28,000 - 39,000; Full time

Job summary

TikTok is seeking an Ecosystem Analyst Intern for the 2027 Summer program in Los Angeles. You will support content and ecosystem analysis by gathering data, surfacing key trends across moderation workflows, and helping to build and maintain reporting pipelines that track moderation accuracy and consistency.

The role offers exposure to LLM tools and analytics, with opportunities to contribute to policy interpretation and cross‑team alignment, while developing your data skills in a fast‑paced,

Qualifications

• Pursuing an undergraduate degree in a quantitative/analytical field.
• Experience with data (Excel/Sheets).
• Strong analytical and problem-solving skills.

Responsibilities

• Support content and ecosystem analysis by gathering data and surfacing key trends across moderation workflows.
• Assist in building and maintaining quality reporting pipelines, tracking moderation accuracy and consistency.
• Use LLM and analytical tools under guidance to investigate cases, conduct root cause analysis, and validate model reasoning.
• Help identify emerging risks, enforcement gaps, and policy inconsistencies across content verticals.
• Participate in cross-team and vendor calibration sessions on policy interpretation and quality standards.
• Contribute to small-scale initiatives aimed at improving ecosystem outcomes.

Skills

Data analysis

Excel/Sheets

Analytical mindset

Education

Undergraduate studies in quantitative field

Tools

LLM tools

SQL basics

Visualization basics

Job description

TikTok is seeking an Ecosystem Analyst Intern for the 2027 Summer program in Los Angeles. You will support content and ecosystem analysis by gathering data, surfacing key trends across moderation workflows, and helping to build and maintain reporting pipelines that track moderation accuracy and consistency.

The role offers exposure to LLM tools and analytics, with opportunities to contribute to policy interpretation and cross‑team alignment, while developing your data skills in a fast‑paced,