AI Model Data Operation Graduate (TikTok ADSO) - 2027 Start

TIKTOK PTE LTD (TIKTOK); Jakarta Selatan; On-site; IDR 66,960,000 - 133,920,000; Full time

Job summary

TikTok is seeking graduates to join the AI Data Service & Operations team to ensure high-quality multilingual data for foundation-model training and evaluation. You will help define quality criteria, judge data outputs, and contribute to reusable knowledge assets.

Entrants should demonstrate strong logic, structured thinking, and independent judgment in a fast-paced environment, with a focus on accuracy and collaboration across teams in Jakarta.

Qualifications

• Bachelor's degree in a related field; strong analytical abilities required.
• Experience or internship in data quality, content operations, or AI data preferred.
• Excellent English listening, speaking, reading and writing; additional languages valued.
• Familiarity with data-processing tools and understanding of AI capability boundaries.

Responsibilities

• Define and iterate data-quality standards, rules, and acceptance criteria for training data.
• Review outputs against quality standards and ensure accuracy and consistency.
• Participate in adjudication of complex cases and translate conclusions into reusable rules.
• Track quality metrics, identify root causes, and drive process improvements.

Skills

Data quality

Analytical thinking

Communication

Structured thinking

Education

Bachelor's degree

Tools

Excel

Job description

Responsibilities

About the TeamGenerative AI and large language models are reshaping the core capabilities of global content platforms — and high-quality training and evaluation data is one of the key factors that determines a model's ceiling. We are the AI Data Service & Operations team behind TikTok's international products, responsible for producing multilingual, multimodal data assets across both safety and non-safety domains. The standards we set and the data we deliver power two critical fronts: TikTok's global content ecosystem governance strategy on one side, and the training and evaluation pipelines for AI / large language models on the other. In short, we produce the fuel that helps models truly understand content, communities, and users around the world. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis.

1. Help define and continuously iterate data-quality standards, judgment rules, and acceptance criteria for foundation-model training and evaluation.


2. Review and judge data outputs against quality standards, identify issues, close correction loops, and ensure accuracy and consistency.


3. Participate deeply in the adjudication and discussion of complex, ambiguous, and borderline cases; convert conclusions into reusable judgment rules and knowledge assets.


4. Track quality metrics, identify root causes, and drive improvements in production processes and execution.


5. Collaborate with production, product, algorithm, and strategy teams to align quality standards and connect the “standards–production–acceptance–feedback” chain. Clear logic and strong structured decomposition, abstraction, synthesis, judgment, and communication skills. Detail-oriented, with an independent view of what constitutes high-quality data.

Qualifications

1. Bachelor's degree; majors in law, philosophy, economics, journalism, languages, social sciences, or related fields are preferred.


2. Internship or project experience in data quality, content moderation, compliance, content operations, AI data, or annotation is preferred.


3. Excellent English listening, speaking, reading and writing skills, including accurate comprehension of English video and text. IELTS 7.5, TOEFL 105, or equivalent; additional languages are preferred.


4. Familiarity with Excel and other common data-processing tools. Deep experience with mainstream foundation-model products such as ChatGPT, Claude, Gemini, or Doubao, and a basic understanding of AI capability boundaries, are preferred.


5. Clear logic and strong structured decomposition, abstraction, synthesis, judgment, and communication skills. Detail-oriented, with an independent view of what constitutes high-quality data.