AI Model Optimization Specialist – Content Policy

TikTok; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

TikTok is seeking a Model Optimization Specialist to design and optimize workflows that improve machine model performance in content moderation. You will train models to apply policies accurately, reduce leakage, and lower false decisions while ensuring broad policy coverage.

You will collaborate across policy, data, and AI teams to deliver measurable quality outcomes and maintain high standards for decision-making in a fast-paced, global platform environment.

Qualifications

• Minimum 1 year of experience in Quality Audit, Quality Governance, or Content Moderation Policy & SOP management.
• Experience with AI/ML model quality assessment, data annotation, or model evaluation (LLM/VLM preferred).
• Strong data sensitivity and analytical skills — able to identify patterns, surface trends, and present findings with clear, actionable data evidence to support business decisions.
• Ability to design structured workflows and translate qualitative policy requirements into machine-actionable signals that drive measurable model improvement.
• Proficiency in data and productivity tools (Excel, Lark Base/Bitable, or equivalent); comfortable working with dashboards, reports, and performance tracking systems.
• Excellent written and verbal communication in English. Genuine curiosity in AI, large language models, and human-AI collaboration — willing to learn, explore, and stay ahead of emerging model behaviours and risks.
• Comfortable balancing independent judgment with cross-functional collaboration in a fast-paced environment, with a strong ownership mentality and ability to manage multiple projects to closure.

Responsibilities

• Model Quality & Workflow Design: Design, manage, and optimize end-to-end workflows to improve machine model performance in content policy enforcement — including signal detection, rejection accuracy, and leakage reduction. Develop training data pipelines, QA processes, and performance tracking systems aligned to model improvement goals.
• Adversarial Testing & Risk Identification: Conduct structured adversarial testing on AI models, features, and content policies to surface vulnerabilities, edge cases, and emerging risk trends.
• Root Cause Analysis & Error Optimization: Conduct structured root cause analysis (RCA) on model errors — including overkills, leakages, and misclassification — and translate findings into actionable model improvement recommendations.
• Data Analysis & Reporting: Analyze model training and operational performance data to generate actionable insights through reports and presentations.
• Cross-Functional Stakeholder Partnership: Partner with policy, product, business, and operations teams to validate mitigation strategies, align on quality metrics, and ensure root cause closure.
• Guidelines & Knowledge Management: Develop and maintain technical guidelines, SOPs, and casebooks to ensure consistent, high-quality decision-making across QA and annotation workflows.

Skills

Quality Audit

Quality Governance

Policy & SOP management

AI/ML model quality assessment

Data analysis

English communication

Cross-functional collaboration

Tools

Excel

Lark Base

Bitable

Job description

TikTok is seeking a Model Optimization Specialist to design and optimize workflows that improve machine model performance in content moderation. You will train models to apply policies accurately, reduce leakage, and lower false decisions while ensuring broad policy coverage.

You will collaborate across policy, data, and AI teams to deliver measurable quality outcomes and maintain high standards for decision-making in a fast-paced, global platform environment.