Content Quality and Evaluation Specialist Graduate (Thai - SMO) - 2027 Start

TikTok; Kuala Lumpur; Vor Ort; MYR 45.000 - 78.000; Vollzeit

Zusammenfassung

TikTok seeks a Content Quality and Evaluation Graduate (Thai - SMO) in Malaysia for a 2027 start. You will help define quality standards for multilingual data used in AI models, review data quality, and drive improvements in evaluation pipelines.

This role offers growth in a fast-paced AI data service setting with global impact. You will work with cross-functional teams, learn guidelines, and contribute to governance of model training data.

Qualifikationen

• Bachelor's degree in data-related field or social sciences preferred.
• Internship or project experience in data quality, content operations, or AI data/annotation is a plus.
• Excellent English skills with strong comprehension of video and text content.
• Proficient in Excel and data tools; familiarity with LLM products is a plus.
• Ability to interpret guidelines and apply policies in writing-focused workflows.

Aufgaben

• Design and iterate data quality standards, judgment rules, and acceptance criteria for LLM training and evaluation.
• Review outputs against quality standards; identify issues and implement corrections.
• Analyze edge cases and translate conclusions into reusable rules and knowledge assets.
• Track quality metrics and root-cause issues; drive process improvements.
• Collaborate with production, product, algorithm, and policy teams to align on standards.

Kenntnisse

English proficiency

Analytical thinking

Excel

Data tooling

Ausbildung

Bachelor's degree in data, statistics, CS, law, linguistics, or social sciences

Tools

Excel

ChatGPT

Claude

Gemini

Jobbeschreibung

Content Quality and Evaluation Specialist Graduate (Thai - SMO) - 2027 Start

Location:

Employment Type:

Regular

Job Code:

A86283A

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.As an Eco Content Quality and Evaluation graduate, you’ll sit at the intersection of model performance and ecosystem governance. You’ll act as the gatekeeper for AI training and evaluation data — defining quality standards, unifying judgment criteria, and safeguarding data trustworthiness and consistency, so that every data point holds up under the scrutiny of both models and the business.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 - we encourage you to apply early.

Key Responsibilities

• Help design and iterate on data quality standards, judgment rules, and acceptance criteria for LLM training and evaluation scenarios;
• Review and adjudicate data outputs against quality standards, identify issues, and close the loop on corrections to ensure accuracy and consistency;
• Dig into complex, ambiguous, and edge cases; drive discussion and turn conclusions into reusable judgment rules and knowledge assets;
• Track quality metrics, root-cause issues, and drive improvements in production processes and execution;
• Partner cross-functionally with production, product, algorithm, and policy teams to align on quality standards and connect the "standard → production → acceptance → feedback" loop.

Qualifications

Minimum Qualifications

• - Individuals who are completing or have recently completed a Bachelor's degree in data, statistics, computer science, law, linguistics, or social sciences preferred;
• - Internship, academic project, campus organization, or full-time experience in data quality, quality assurance, content moderation, compliance, content operations, editorial review, or AI data / annotation is a strong plus;
• - Excellent English proficiency (listening, speaking, reading, writing) with accurate comprehension of English video and text content; IELTS 7.5 / TOEFL 105 or equivalent- Proficient in Excel and common data tools; hands‑on experience with mainstream LLM products (ChatGPT, Claude, Gemini, etc.) and a basic understanding of AI capability boundaries preferred;
• - Strong logical thinking with structured problem‑decomposition, abstraction, and articulation skills; detail-oriented, with your own point of view on "what makes good data.";
• - Demonstrated ability to interpret and apply complex guidelines or policies in writing‑focused workflows, and some experience evaluating qualitative content or using data to improve processes. Internship, research, and project experience all count.

Preferred Qualifications

• - Additional experience with content policy, operational guideline development, or enforcement workflows.
• - A self‑starter mindset, solution‑oriented thinking, and the ability to manage multiple priorities in a fast‑paced, collaborative environment.
• - Familiarity with machine‑executable logic, labeling frameworks, or test‑set workflows.
• - Experience collaborating with Policy, Product, Governance, Engineering, or Training teams through internships, projects, research, or full‑time roles.
• - Knowledge of scenario coverage, positive/negative balance, and dataset validation.

Job Information

About TikTok

TikTok is the leading destination for short‑form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok’s global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok’s mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We’re resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

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