Live AI Data Operations Specialist (French)

TikTok; Greater London; Sur place; GBP 55 000 - 85 000; Plein temps

Résumé du poste

TikTok is seeking an AI Data Operation Specialist to lead quality initiatives in content moderation for the Live platform. You will blend human labeling with ML models to improve decision accuracy and support cross-functional teams.

You will train models on large labeled datasets, analyze moderation data to extract insights, and drive continuous process improvements while safeguarding user safety and content quality.

Qualifications

• Bachelor’s degree in Business, Data Science, Computer Science, Information Technology, Communications, or a related field
• 3+ years of experience in AI data operation, leveraging AI/ML for content quality management
• Proficiency in data analysis and visualization tools such as Excel, Tableau, Power BI, or similar
• Basic understanding of machine learning concepts and Large Language Models (LLMs)
• Strong ability to analyze complex datasets, identify patterns, and generate actionable insights
• Fluency in both written and spoken English; proficiency in French is also necessary for regional monitoring

Responsabilités

• Lead quality initiatives in content moderation for TikTok Live using human labeling and ML models
• Train models using large datasets of labeled content to improve decision-making accuracy
• Analyze moderation data to extract actionable insights and monitor trends across queues
• Coordinate with cross-functional teams to resolve issues and drive continuous improvement
• Custodian of quality artifacts and develop innovative solutions to enhance outputs

Connaissances

Analytical thinking

Ownership

Cross-functional

Attention to detail

Proactive mindset

English proficiency

French proficiency

Formation

Bachelor’s degree in a related field

Outils

Excel

Tableau

Power BI

Description du poste

TikTok is seeking an AI Data Operation Specialist to lead quality initiatives in content moderation for the Live platform. You will blend human labeling with ML models to improve decision accuracy and support cross-functional teams.

You will train models on large labeled datasets, analyze moderation data to extract insights, and drive continuous process improvements while safeguarding user safety and content quality.