2 days ago

AI Policy Researcher, User Wellbeing, Trust and Safety

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Partner with Trust & Safety to develop and operationalize responsible AI policy for frontier GenAI models. Lead multimodal policy design across safety-relevant harm domains, translate risk/harm models into evaluation and behavioral safeguards, and drive end-to-end workflows from pre-launch assessment to post-launch monitoring. Improve policies using red-teaming and deployment signals, and support AI governance and compliance reviews with cross-functional stakeholders and external experts.

Location: Singapore

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Seniority: Mid level

Key Responsibilities

•Design and maintain multimodal GenAI policies across safety-relevant user harm domains, including adult nudity/sexual activity, shocking/graphic content, consent sensitivity, and mental health.
•Translate risk and harm models into behavioral specifications, evaluation criteria, grading guidance, and system-level safeguards.
•Define boundaries between beneficial AI uses and assistance that could enable harm, exploitation, misuse, or unsafe outcomes.
•Develop end-to-end policy workflows spanning pre-launch evaluation and post-launch monitoring, including golden set construction, labeling guidance, calibration, adjudication, and eval coverage analysis.
•Use red-teaming results and deployment signals (model failures, over-refusals/under-refusals, ambiguous edge cases) to improve policy and evaluation quality over time.

Key Requirements

•3+ years in Trust & Safety, AI Safety Research, AI Ethics, technical AI Governance, or equivalent experience.
•Experience in policy development, AI evaluations, red-teaming, or AI governance work.
•Strong technical understanding of LLMs, multimodal/generative media behavior, model failure modes, and safety risks.
•Demonstrated experience working with external experts and stakeholders, including civil society, government, and academia.
•Excellent verbal and written communication skills to advocate for safety across Product Policy, Engineering, Public Policy, Legal, Communications, and Data Science.

Experience:3+ yearsAI safety researchTrust & SafetyFrontier AIAI ethicsAI governance

Skills:CommunicationAnalytical rigourJudgmentCreativityStakeholder advocacy

Tech Stack:LLMMultimodalGenerative mediaPythonML systemsRed-teaming

Company Brief

TikTok

Short-form video platform that lets users create, share, and discover entertainment content through algorithmic recommendations. It also offers advertising and creator tools for brands, influencers, and businesses.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn

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TikTok

2 days ago

AI Policy Researcher, User Wellbeing, Trust and Safety

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Singapore

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Seniority: Mid level

Key Responsibilities

•Design and maintain multimodal GenAI policies across safety-relevant user harm domains, including adult nudity/sexual activity, shocking/graphic content, consent sensitivity, and mental health.
•Translate risk and harm models into behavioral specifications, evaluation criteria, grading guidance, and system-level safeguards.
•Define boundaries between beneficial AI uses and assistance that could enable harm, exploitation, misuse, or unsafe outcomes.
•Develop end-to-end policy workflows spanning pre-launch evaluation and post-launch monitoring, including golden set construction, labeling guidance, calibration, adjudication, and eval coverage analysis.
•Use red-teaming results and deployment signals (model failures, over-refusals/under-refusals, ambiguous edge cases) to improve policy and evaluation quality over time.

Key Requirements

•3+ years in Trust & Safety, AI Safety Research, AI Ethics, technical AI Governance, or equivalent experience.
•Experience in policy development, AI evaluations, red-teaming, or AI governance work.
•Strong technical understanding of LLMs, multimodal/generative media behavior, model failure modes, and safety risks.
•Demonstrated experience working with external experts and stakeholders, including civil society, government, and academia.
•Excellent verbal and written communication skills to advocate for safety across Product Policy, Engineering, Public Policy, Legal, Communications, and Data Science.

Experience:3+ yearsAI safety researchTrust & SafetyFrontier AIAI ethicsAI governance

Skills:CommunicationAnalytical rigourJudgmentCreativityStakeholder advocacy

Tech Stack:LLMMultimodalGenerative mediaPythonML systemsRed-teaming

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn