Responsibilities
Safety Model Operations (SMO) is a dedicated organization that provides end-to-end support for AI Moderation services across a wide range of international products. Our core function is to deliver high-quality labeling, evaluation, and safety-related data services that help ensure AI systems operate responsibly, accurately, and in alignment with product requirements.
As AI Moderation needs grew in scale and complexity, these projects were consolidated into a standalone department-Safety Model Operations-to enable sharper operational focus, stronger governance, and more specialized expertise. Becoming an independent department allowed SMO to streamline workflows, centralize decision-making, scale delivery capabilities, and build deeper specialization in AI safety, quality processes and AI moderation
The SMO Delivery Team plays a critical role in the organization. Its primary responsibility is to carry out the full spectrum of quality assurance activities for each project. This includes:
- Conducting detailed reviews and complex RCA's to ensure labeling accuracy and consistency
- Monitoring quality performance and compliance against project-specific KPIs
- Identifying trends, risks, and potential gaps in processes or guidelines
- Providing structured feedback and improvement recommendations to the Central Project Team
- Supporting continual optimization of workflows, tools, and evaluation methodologies
- Improve Model performance of AI models
Through these functions, the SMO Delivery Team helps maintain high operational standards and drives continuous improvement across all AI Moderation initiatives. The team's insights play a key role in enhancing model performance, refining guidelines, and ensuring overall excellence in project execution.
Responsibilities:
- Grow the QA team and oversee their day-to-day management.
- Working both independently, and in collaboration with stakeholders, to deliver high performance standards across all relevant projects, and develop a best practice model for maintaining high performance on those projects.
- Responsible for localizing working processes and strategies, managing the labeling projects with the Quality Analysts and providing the labeling results in line with expectations.
- Provide efficient and timely data through performance management practices, and deliver reports to business teams when required.
- Be solution driven with regional and global strategy in mind, and be proactive in delivering these solutions.
- Excellent communication skills, leading diverse teams, and facilitating an atmosphere of communication & collaboration.
- Conduct interviews & other hiring process duties to successfully grow out teams with qualified & capable people.
Qualifications
Minimum Qualifications:
- Bachelor's degree and above or equivalent working experience in a short video product user industry.
- At least 1-year of Leadership experience in trust and safety or policy in a major tech or media company.
- Be familiar with the business logic of labeling and working mode of the upstream and downstream teams.
- A fast learner who has the ability to embrace a fast-paced working environment.
- Strong communication, interpersonal, and presentation skills.
- Comfortable reporting to, or collaborating with, all levels of management and broader stakeholders.
Preferred Qualifications:
- Display a broad understanding of our business needs, and strategic thinking skills.
- Have a demonstrated ability to make good decisions in complex situations. Experience using data to make decisions.
- Familiar with machine learning and content understanding.
- A passion for helping others to grow, and a willingness to step beyond your comfort zone.
- An understanding of tools such as the Working Hours tool, and Data Power is an advantage.
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