AI Model Safety & Data Quality Engineer

TikTok; Kuala Lumpur; On-site; MYR 30,000 - 52,000; Full time

Job summary

TikTok is seeking a graduate to join the Safety Model Operations (SMO) team to help build, optimize, and maintain ML models and data processes for Trust & Safety. Candidates should be able to join by year-end and include availability and graduation date in their resume.

The role emphasizes formulating data quality standards for large-model training, assessing outputs, handling edge cases, and collaborating across functions to improve safety systems globally.

Qualifications

• Bachelor's degree in law, philosophy, economics, journalism, languages, social sciences, or related fields preferred.
• Internship or project experience in data quality, content moderation, compliance, content operations, AI data, or annotation preferred.
• Excellent English listening, speaking, reading, and writing skills; IELTS 7.5 or TOEFL 105 or equivalent.

Responsibilities

• Formulate and iterate data quality standards, judgment rules, and acceptance criteria for large-model training and evaluation.
• Review outputs against quality standards; identify issues and close loops for corrections.
• Discuss complex edge cases; turn findings into reusable judgment rules and knowledge assets.
• Track quality performance; identify root causes; drive improvements in production processes.
• Collaborate with production, product, and algorithm teams to align quality standards across the loop.

Job description

TikTok is seeking a graduate to join the Safety Model Operations (SMO) team to help build, optimize, and maintain ML models and data processes for Trust & Safety. Candidates should be able to join by year-end and include availability and graduation date in their resume.

The role emphasizes formulating data quality standards for large-model training, assessing outputs, handling edge cases, and collaborating across functions to improve safety systems globally.