Mandarin-Speaking Content Risk Lead | Safety & Policy

TikTok; Kuala Lumpur; Sur place; MYR 180 000 - 260 000; Plein temps

Résumé du poste

TikTok is seeking a Content Risk Evaluation Team Lead to guide a team of specialists focused on identifying and mitigating content risks. You will translate complex policies into actionable guidelines, surface risks across user and producer content, and coordinate rapid responses to safety events.

You will work with algorithm and data science teams to close the feedback loop between human review and AI models, improving risk assessment and platform safety strategies.

Qualifications

• Bachelor's degree or higher in Law, Journalism, or related fields preferred.
• At least 2 years of team management experience.
• Strong background in content safety, policy development, or risk management.
• Strong English communication skills (written & spoken).
• Mandarin proficiency required for daily liaison with China team.

Responsabilités

• Lead and develop the Risk Team to identify and mitigate risks.
• Translate policy into guidelines and oversee a case database for consistency.
• Monitor content risks across UGC/PGC and extract characteristics.
• Lead rapid response to emergent content safety events and coordinate cross‑functional actions.
• Produce data-driven risk assessment reports to guide platform rules.
• Collaborate with operations, safety product, and data science teams to prevent risks.
• Ensure a continuous judgment-data-model feedback loop with teams.

Connaissances

Team management

Content safety

Policy development

English proficiency

Mandarin proficiency

Formation

Bachelor's degree or higher

Description du poste

TikTok is seeking a Content Risk Evaluation Team Lead to guide a team of specialists focused on identifying and mitigating content risks. You will translate complex policies into actionable guidelines, surface risks across user and producer content, and coordinate rapid responses to safety events.

You will work with algorithm and data science teams to close the feedback loop between human review and AI models, improving risk assessment and platform safety strategies.