AI Product Operations Project Intern (-Platform Responsibility-Teen BS​/MS

Position: AI Product Operations Project Intern (TikTok-Platform Responsibility-Teen Experience) - 2026 Start (BS/MS)
Responsibilities

About the Team We are building the next generation of content safety and governance systems at Tik Tok, with a strong focus on protecting minors and teens at global scale. Our team sits at the intersection of product, policy, and AI, leveraging large language models and multimodal technologies to design safety mechanisms that are proactive, scalable, and measurable. We work closely with Policy, Legal, Algorithm, and Engineering teams to translate complex regulatory and safety requirements into real-world product solutions that protect users while preserving a high-quality user experience.

As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Successful candidates must be able to commit to at least 3 months long internship period. Responsibilities - Support model strategy and operations for Tik Tok Minor Safety, working closely with cross-functional teams to participate in the end-to-end process of model design, optimization, training, and evaluation. Identify performance gaps and vulnerabilities in models, and propose effective actions to continuously improve model quality.

- Participate in the full data production lifecycle, including defining dataset standards, executing model evaluations, and ensuring high-quality data delivery.

- Explore and adopt the latest Large Language Model (LLM) tools to continuously optimize data production workflows and processes, improving efficiency and scalability. Stay up to date with industry trends to help build more intelligent and efficient data systems.

- Research emerging model training methodologies from both academia and industry, identify weaknesses in existing training data, and propose innovative solutions to improve data generalization, production efficiency, and coverage.

Qualifications

Minimum Qualifications - Able to commit to working for 12 weeks in 2026 - Currently pursuing an undergraduate/master degree in computer science, data science, product management, or other related discipline - Basic understanding or strong interest in large language models (LLMs); willingness to learn related knowledge and tools (e.g., basic API usage).

- Good learning ability, logical thinking, and analytical skills; able to identify simple problems in daily work and try to propose solutions with guidance.

Preferred Qualifications - Experience in Trust & Safety, content moderation, or familiarity with content safety compliance requirements is a strong plus.

- Hands-on experience in data analysis or model optimization is preferred.

Job Information

[For Pay Transparency]Compensation Description (Hourly) - Campus Intern

The hourly rate range for this position in the selected city is $25- $25.

Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 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). Interns who are not working 100% remote may also be eligible for housing allowance.

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2.…