Operations Specialist, Trust & Safety

Department: Community

Employment Type: Full Time

Location: Malaysia

Compensation: RM5,500 - RM6,500 / month

Description

• Play a hands-on role in protecting our community and improving Trust & Safety operations every day.
• Combine analytical thinking with operational impact to design smarter, safer systems.
• Grow into a cross-functional T&S operator with exposure to analytics, policy, and product development.
• Learn advanced safety analytics (e.g., graph analysis, behavioral modeling, NLP) — no prior expertise required.
• Mentorship from experienced Trust & Safety leaders and benefit from flexible, remote-friendly work options.

What You’ll Do

• Conduct QA reviews and operational checks on moderation and enforcement actions to verify accuracy, identify gaps, and recommend improvements.
• Prepare, label, and analyze data to support QA reviews or investigations into harmful or suspicious activity.
• Assist with process improvement for recurring operational issues through policy calibrations and moderation playbook updates.
• Support performance reporting and trend monitoring through clear reports and dashboards, ensuring Trust & Safety metrics are accurate and actionable.
• Carry out investigations into emerging risks, coordinated activity, or policy edge cases.
• Analyze and share data insights on trends or anomalies in user behavior, content types, or enforcement outcomes.
• Partner with Product, Engineering, and Policy teams to translate findings into data-informed interventions and feature improvements.
• Document and communicate findings and operational learnings clearly across teams.

Skills, Knowledge and Expertise

• 1–3 years of experience in QA, content moderation, investigations, or data operations (entry-level candidates with strong analytical skills are welcome).
• Strong analytical judgment and ability to assess moderation quality and consistency objectively.
• Proactive and curious mindset — able to spot trends, inconsistencies, or emerging risks from data or investigations.
• Excellent attention to detail, documentation, and cross-functional communication skills.
• Proficiency in basic data tools (Excel, Google Sheets, or similar) for data manipulation and management.
• Collaborative mindset — able to partner effectively with Policy, Product, ML, and Operations teams.
• Self-motivated, growth-oriented learner who thrives in a fast-paced, evolving environment.

• Experience preparing or analyzing large, unstructured datasets (e.g., user activity, content, enforcement logs).
• Experience building or maintaining QA frameworks or evaluation rubrics for moderation or enforcement review.
• Experience supporting machine learning workflows, such as data labeling, quality checks, or feature validation.
• Experience supporting dashboard creation or metric development to monitor abuse trends and measure moderation performance.
• Familiarity with business intelligence or visualization tools (e.g., Metabase, Tableau, Power BI).
• Interest or experience in data programming languages (SQL, Python, R) for analytics or automation.
• Interest or experience in exploratory analysis to distinguish normal vs. suspicious or coordinated user behavior (e.g., spam, fake accounts, influence campaigns).
• Awareness of basic clustering or anomaly detection techniques to identify emerging abuse patterns in user behavior or language.

Location and Benefits

• Health insurance
• Paid annual leave, paid sick leave and maternity leave