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Responsibilities

About the Team The Feed Safety-Model & Data Intelligence team within TikTok Platform Responsibility ensures that AI models meet the highest bar before they make content safety decisions affecting billions of users. Our work spans three layers: - Standards & Governance — We define and iterate the safety standards that AI systems must follow, translating complex policy intent into structured, machine-interpretable frameworks. This requires deep governance thinking: navigating trade-offs between safety, fairness, user experience, and enforcement consistency. - AI/ML Solution Design — We partner closely with algorithm teams to improve model accuracy and stability across safety scenarios, tackling challenges unique to this domain — adversarial content, imbalanced distributions, and deep contextual understanding. We evaluate, select, and help shape the right AI approaches (LLMs, prompting strategies, agentic workflows, etc.) for each problem. - Rigorous Evaluation — We design statistically grounded evaluation frameworks, build high-quality ground truth datasets, and ensure our assessments are valid, reproducible, and actionable — so the platform can confidently ship AI-powered safety systems at scale. Our work sits at the intersection of AI/ML product development, trust & safety policy, and data-driven quality assurance — ensuring that AI systems can be reliably deployed for high-precision content review and risk governance at scale. We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth. Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals. Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted. Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates. Responsibilities - Design and execute evaluation plans for AI safety models — define evaluation objectives, select appropriate metrics, and determine what "good" looks like for each use case. - Build and maintain high-quality ground truth datasets — design data sampling strategies, develop data cleaning pipelines, and ensure labeling consistency and accuracy. - Analyze model performance using statistical methods (sampling design, confidence intervals, error analysis) to produce actionable insights for algorithm teams and stakeholders. - Collaborate with algorithm engineers to translate evaluation findings into concrete model improvement directions; participate in prompt design and model configuration iteration. - Communicate evaluation results and governance standards to cross-functional partners (Policy, Operations, Algorithm); align on definitions and help calibrate quality expectations. - Continuously improve evaluation processes — identify gaps, propose methodology upgrades, and ensure our evaluation systems scale with model and policy evolution.

Qualifications

Minimum Qualifications - Currently pursuing an Undergraduate/Master's in Statistics, Computer Science, Data Science, Public Policy, or closely related quantitative fields. - Solid grasp of applied statistics — sampling, hypothesis testing, confidence intervals, distribution analysis — and ability to apply these to real measurement problems. - Foundational understanding of AI/ML concepts (classification, NLP, LLMs, precision/recall); comfortable discussing model behavior with engineers. - Interest in governance, policy, or content safety; appreciation for the complexity of defining "right" and "wrong" at scale. - Strong structured thinking — able to decompose ambiguous problems into clear goals and prioritized actions; goal-oriented and hypothesis-driven. - Ability to communicate in both English and Chinese to collaborate with global and China-based stakeholders. Preferred Qualifications - Internship or project experience in Trust & Safety, AI/ML product, model evaluation, or policy-related work. - Hands-on experience with prompt engineering, LLM-based evaluation, or building evaluation datasets. - Familiarity with safety-specific challenges: adversarial content, inter-annotator disagreement, or human-in-the-loop systems. - Coursework or research in AI governance, computational social science, or interdisciplinary areas combining technology and policy. - Experience with experimental design and statistical modeling beyond introductory level.

Job Information

【For Pay Transparency】Compensation Description (Hourly) - Campus Intern

The hourly rate range for this position in the selected city is $35- $35.

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. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok Accommodation

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request

AI Safety Evaluation & Governance Product Manager Intern

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