Product Project Intern (TikTok-Platform Responsibility-LIVE) - 2026 Start (BS/MS)
Jun 10, 2026 Singapore
About us
TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.
- Size: 10,000+ employees
- Industry: Technology: Consumer Internet
Why you should apply for a job to TikTok:
4.5/5 in overall job satisfaction
4.5/5 in supportive management
100% say women are treated fairly and equally to men
100% would recommend this company to other women
100% say the CEO supports gender diversity
Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›
Responsibilities
About the Team
Our team is at the forefront of building and optimizing content safety systems. With a focus on optimising and advancing content safety, we leverage advanced large language and multimodal models to enhance review efficiency, risk control, and user trust. Working closely with business and technical stakeholders, we deliver scalable solutions that keep pace with rapid global growth.
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.
Responsibilities
- Assist in the optimization and revamp of the Human Moderation queue, supporting product design and execution across task allocation, priority management, processing efficiency, and moderator experience improvement in manual review workflows.
- Assist in building and refining metric frameworks related to review efficiency, review quality, and operational collaboration; continuously monitor performance and support strategy iteration based on outcome evaluation.
- Participate in the analysis, design, and iteration of LIVE Safety product features and workflows, contributing to stronger content safety governance capabilities and a more trustworthy user experience.
- Identify risk points, workflow bottlenecks, and product opportunities within moderation systems through data analysis, case studies, and business feedback.
- Partner closely with cross-functional teams including engineering, data science, operations, and policy to support project execution, stakeholder alignment, rollout coordination, and post-launch review across complex initiatives.
Qualifications
Minimum Qualification(s)
- Able to commit to working for 4/5 days a week for at least 6 months
- Currently pursuing an undergraduate/master degree in computer science, analytics, Information Technology/System or other related discipline.
- Foundational understanding of safety, product management or product design, demonstrated through coursework, projects, or internships.
- Basic technical proficiency with analytical tools and data sense gained through coursework, projects, or relevant experience.
- Good communication skills, able to communicate with cross-functional teammates to clarify pipeline design or SOP training.
Preferred Qualification(s)
- Experience on Trust & Safety, moderation, LIVE or risk control
- Exposure to AI/ML-driven detection or recommendation systems, including an understanding of their limitations in adversarial or real-time contexts.
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.
If you have any questions, please reach out to us at apac-earlycareers@tiktok.com
About the Team
Our team is at the forefront of building and optimizing content safety systems. With a focus on optimising and advancing content safety, we leverage advanced large language and multimodal models to enhance review efficiency, risk control, and user trust. Working closely with business and technical stakeholders, we deliver scalable solutions that keep pace with rapid global growth.
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.
Responsibilities
- Assist in the optimization and revamp of the Human Moderation queue, supporting product design and execution across task allocation, priority management, processing efficiency, and moderator experience improvement in manual review workflows.
- Assist in building and refining metric frameworks related to review efficiency, review quality, and operational collaboration; continuously monitor performance and support strategy iteration based on outcome evaluation.
- Participate in the analysis, design, and iteration of LIVE Safety product features and workflows, contributing to stronger content safety governance capabilities and a more trustworthy user experience.
- Identify risk points, workflow bottlenecks, and product opportunities within moderation systems through data analysis, case studies, and business feedback.
- Partner closely with cross-functional teams including engineering, data science, operations, and policy to support project execution, stakeholder alignment, rollout coordination, and post-launch review across complex initiatives.
Minimum Qualification(s)
- Able to commit to working for 4/5 days a week for at least 6 months
- Currently pursuing an undergraduate/master degree in computer science, analytics, Information Technology/System or other related discipline.
- Foundational understanding of safety, product management or product design, demonstrated through coursework, projects, or internships.
- Basic technical proficiency with analytical tools and data sense gained through coursework, projects, or relevant experience.
- Good communication skills, able to communicate with cross-functional teammates to clarify pipeline design or SOP training.
Preferred Qualification(s)
- Experience on Trust & Safety, moderation, LIVE or risk control
- Exposure to AI/ML-driven detection or recommendation systems, including an understanding of their limitations in adversarial or real-time contexts.
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.
If you have any questions, please reach out to us at apac-earlycareers@tiktok.com
About the Team
Our team is at the forefront of building and optimizing content safety systems. With a focus on optimising and advancing content safety, we leverage advanced large language and multimodal models to enhance review efficiency, risk control, and user trust. Working closely with business and technical stakeholders, we deliver scalable solutions that keep pace with rapid global growth.
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.
Responsibilities
- Assist in the optimization and revamp of the Human Moderation queue, supporting product design and execution across task allocation, priority management, processing efficiency, and moderator experience improvement in manual review workflows.
- Assist in building and refining metric frameworks related to review efficiency, review quality, and operational collaboration; continuously monitor performance and support strategy iteration based on outcome evaluation.
- Participate in the analysis, design, and iteration of LIVE Safety product features and workflows, contributing to stronger content safety governance capabilities and a more trustworthy user experience.
- Identify risk points, workflow bottlenecks, and product opportunities within moderation systems through data analysis, case studies, and business feedback.
- Partner closely with cross-functional teams including engineering, data science, operations, and policy to support project execution, stakeholder alignment, rollout coordination, and post-launch review across complex initiatives.
Qualifications
Minimum Qualification(s)
- Able to commit to working for 4/5 days a week for at least 6 months
- Currently pursuing an undergraduate/master degree in computer science, analytics, Information Technology/System or other related discipline.
- Foundational understanding of safety, product management or product design, demonstrated through coursework, projects, or internships.
- Basic technical proficiency with analytical tools and data sense gained through coursework, projects, or relevant experience.
- Good communication skills, able to communicate with cross-functional teammates to clarify pipeline design or SOP training.
Preferred Qualification(s)
- Experience on Trust & Safety, moderation, LIVE or risk control
- Exposure to AI/ML-driven detection or recommendation systems, including an understanding of their limitations in adversarial or real-time contexts.
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.
If you have any questions, please reach out to us at apac-earlycareers@tiktok.com
Responsibilities
ResponsibilitiesAbout the Team
Our team is at the forefront of building and optimizing content safety systems. With a focus on optimising and advancing content safety, we leverage advanced large language and multimodal models to enhance review efficiency, risk control, and user trust. Working closely with business and technical stakeholders, we deliver scalable solutions that keep pace with rapid global growth.
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.
Responsibilities
- Assist in the optimization and revamp of the Human Moderation queue, supporting product design and execution across task allocation, priority management, processing efficiency, and moderator experience improvement in manual review workflows.
- Assist in building and refining metric frameworks related to review efficiency, review quality, and operational collaboration; continuously monitor performance and support strategy iteration based on outcome evaluation.
- Participate in the analysis, design, and iteration of LIVE Safety product features and workflows, contributing to stronger content safety governance capabilities and a more trustworthy user experience.
- Identify risk points, workflow bottlenecks, and product opportunities within moderation systems through data analysis, case studies, and business feedback.
- Partner closely with cross-functional teams including engineering, data science, operations, and policy to support project execution, stakeholder alignment, rollout coordination, and post-launch review across complex initiatives.
Qualifications
QualificationsMinimum Qualification(s)
- Able to commit to working for 4/5 days a week for at least 6 months
- Currently pursuing an undergraduate/master degree in computer science, analytics, Information Technology/System or other related discipline.
- Foundational understanding of safety, product management or product design, demonstrated through coursework, projects, or internships.
- Basic technical proficiency with analytical tools and data sense gained through coursework, projects, or relevant experience.
- Good communication skills, able to communicate with cross-functional teammates to clarify pipeline design or SOP training.
Preferred Qualification(s)
- Experience on Trust & Safety, moderation, LIVE or risk control
- Exposure to AI/ML-driven detection or recommendation systems, including an understanding of their limitations in adversarial or real-time contexts.
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.
If you have any questions, please reach out to us at apac-earlycareers@tiktok.com
Additional Information
- Posted: Jun 10, 2026