Content Quality and Evaluation Specialist - Spanish

About the team

The Safety Model Operations [SMO] team is responsible for building, optimizing, and maintaining machine learning models and operational processes that support TikTok's Trust & Safety systems. We ensure that automated safety models perform effectively in identifying harmful content, mitigating risks, and maintaining a safe user environment across regions.

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

Minimum Qualifications

• Proven experience in internet Trust & Safety, Quality Assurance (QA), AI data evaluation, or policy operations.
• Exceptional logical reasoning and synthesis skills. Proven ability to navigate complex and ambiguous business scenarios to identify underlying root causes and independently deliver structured solutions.
• Professional working proficiency in English. Extreme attention to detail and standard consistency, paired with outstanding cross-cultural written and verbal communication skills.
• Highly self-motivated with a strong sense of ownership. Capable of embracing uncertainty in a fast-paced, cross-border collaborative environment, effectively driving multiple parallel tasks to deliver solid business results.
• Spanish proficiency is also required, as it is mandatory for daily liaison with the local team in the Spanish market and the accurate communication of business information.

Preferred Qualifications

• Familiarity with machine learning logic and data labeling frameworks is a strong plus.