Data Infrastructure & Analysis Project Intern (Evaluation and Investigation) - 2027 Start

About the team Our mission is to build a world where people can safely discover, create and connect. AI Data Service and Operations (ADSO) team provides safety and non-safety data annotation services, search operation services, and customer support for TikTok’s global products, helping the products build a complete and reliable data ecosystem and security system.

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:

• Build business requirement dashboards.Take on data dashboard building requests across all business directions, and deliver accurate and actionable data.
• Support business decision-making through data analysis, identify efficiency bottlenecks and quality issues, and produce actionable improvement recommendations.
• Support scientific validation in automated data production, including but not limited to the scientific rigor of datasets and the reasonableness of implementation verification.

Requirements

Minimum Qualifications:

• Education & Major: Currently pursuing a Undergraduate in STEM or a related data science discipline. Basic logical and analytical skills required;
• Language Proficiency: Fluent in English. Able to independently communicate and collaborate cross-functionally with product & R&D teams, frontline staff, and BPO partners.
• Internship Availability Onboard by October, 3–5 days per week, for a continuous internship of 3 months.

Preferred Qualifications:

• Comprehensive Competencies Meticulous, patient, and responsible with strong execution and problem-summarization skills.
• Clear thinker, highly responsive, and a collaborative team player . Able to adapt to periods of high-intensity, detail-oriented work