Global Content Policy & Operations Intern

TikTok

Singapore

On-site

SGD 13,000 - 22,000

Full time

37 hours ago
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Job summary

TikTok is offering an internship in Singapore for students pursuing undergraduate or master's degrees in computer science, statistics, information management, data science, or related fields. The role involves joining the Content Ecosystem team to study content policies, data indicators, and training of policy training for content reviewers.

Candidates should be fast learners, self-motivated, and possess strong analytical thinking.

Qualifications

  • Currently pursuing an Undergraduate/Master's in computer science, statistics, information management, data science or a related discipline.
  • Fast learner who is self-motivated and results-oriented.
  • Strong logical thinking with a passion for exploring root causes of problems and solving them systematically.
  • High sensitivity to content and cultural dynamics with understanding of internet industry trends and regulatory landscapes.

Responsibilities

  • Team Introduction: TikTok's Content Ecosystem team focuses on the health and prosperity of content users and creators to improve DAU long-term.
  • Interns gain hands-on experience, industry exposure, and opportunities to apply knowledge to real-world challenges.
  • Interns will participate in social events, programs, and development workshops and may apply to up to two positions across the company and its affiliates globally.

Skills

Fast learner
Self-motivated
Strong logical thinking
Cultural sensitivity
Interest in policy and moderation

Education

Undergraduate/Master in computer science, statistics, information management, data science or related discipline

Job description

TikTok is offering an internship in Singapore for students pursuing undergraduate or master's degrees in computer science, statistics, information management, data science, or related fields. The role involves joining the Content Ecosystem team to study content policies, data indicators, and training of policy training for content reviewers.

Candidates should be fast learners, self-motivated, and possess strong analytical thinking.

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