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Data Understanding Specialist Graduate, Turkish Market (Data Cycling Center) - 2026 Start (BS/MS)

Data Understanding Specialist Graduate, Turkish Market (Data Cycling Center) - 2026 Start (BS/MS)
Kuala Lumpur, Malaysia
·
On-site
·
Full-time
·
2mo ago
복지 및 혜택
•Healthcare
•Equity
•Flexible Hours
•Learning
필수 스킬
Python
React
PostgreSQL
About Us
Tik Tok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.
Size: 5001-10000 employees
Industry: Entertainment & Gaming, Social Media, Technology
Responsibilities
Tik Tok DCC (Data Cycling Centre):
The team focuses on building data-driven solutions and enhancing content understanding for both internal stakeholders and external users, aiming to solve significant problems through a combination of human and direct content understanding
We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at Tik Tok.
Successful candidates must be able to commit to an onboarding date by end of year 2026. 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 Tik Tok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
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Your main responsibility is to act as a bridge between machine learning engineers and labelers, ensuring the accurate application of structure to unstructured data such as video, images, text, etc.
Responsibilities:1. Project Readiness, Delivery & Reporting:
- Cooperate with Pillar DUS on project support and requirements. Provide project specific insights, RCA and business metrics. ( Cooperate with XFN's where required, delegated)- Template application, selection: Work with FA's and DCC on the use, application and criteria for Labeling Template use. ( TCS - JIMU / LP - Neeko )- SOP Creation / Iteration: Align with RD, BP on requirements, adhere to SOP template. Maintain and update SOP during project lifecycle mapping to any change in requirements or RCA feedback.
- Queue Creation + Injection: Create Live and where required Practice, Test and 2RQA Queues. Across TCS and LP. Liase with FA for support. RD to own complex Queue injections. DUS to support uploading and injection of pre-identified data sets.
- Creation of GDS: Help create, maintain and iterate the Golden Data Set. CS Exam creation linked to GDS.2.
Training and Quality Adherence and Integrity:
- Train, Host or Record SOP review and application. Distribute to internal BD teams. ( LMS - Absorb)- Monitor the quality of project outputs against KPIs and quality standards, taking corrective actions as necessary to maintain high standards of data accuracy and integrity.
- Queue Health Check: Perform periodic reviews and audits of ongoing projects to identify potential issues or areas for improvement, implementing solutions to enhance project outcomes.3.
Process Optimization and Problem Resolution:
- Identify and address operational challenges or inefficiencies, recommending and implementing process improvements to enhance project flow and compliance with best practices.
- Assist in the training and development of DUS team members to ensure they are equipped to meet project demands and quality expectations.
Qualifications:
Minimum Qualification(s):
- Fluency in Turkish is required as the role requires communication with Italian markets & stakeholders, as well as fluency in Turkish as it is the working language.
- Computer fluency and understanding of software and advanced internet functions;
- Proficient skills in MS Office; G-Suite;
Preferred Qualification(s):
- Excellent problem-solving, task prioritization, follow-up, and quick learning skills.
- Ability to maintain a high degree of confidentiality while meeting strict deadlines.
- Undergraduate or postgraduate student currently pursuing a degree in computer science, model training or machine learning is a plus.
- Working experience in a major tech or social media company on labeling/model training, ads/content safety, training or related experiences is a plus;
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy
If you have any questions, please reach out to us at apac-earlycareers@tiktok.com
Client-provided location(s): Kuala Lumpur, Malaysia
Job ID: Tik Tok-7592940328655866117
Employment Type: OTHER
Posted: 2026-01-08T19:55:22
Apply on company site
Perks and Benefits
Health and Wellness
- Health Insurance
- Dental Insurance
- Vision Insurance
- HSA
- Life Insurance
- Fitness Subsidies
- Short-Term Disability
- Long-Term Disability
- On-Site Gym
- Mental Health Benefits
- Virtual Fitness Classes
Parental Benefits
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
Work Flexibility
- Flexible Work Hours
- Hybrid Work Opportunities
Office Life and Perks
- Casual Dress
- Snacks
- Pet-friendly Office
- Happy Hours
- Some Meals Provided
- Company Outings
- On-Site Cafeteria
- Holiday Events
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Leave of Absence
Financial and Retirement
- 401(K) With Company Matching
- Performance Bonus
- Company Equity
Professional Development
- Promote From Within
- Access to Online Courses
- Leadership Training Program
- Associate or Rotational Training Program
- Mentor Program
Diversity and Inclusion
- Diversity, Equity, and Inclusion Program
- Employee Resource Groups (ERG)
Company Videos
Hear directly from employees about what it is like to work at Tik Tok.
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TikTok 소개

TikTok
Late StageA short-form video entertainment app and social network platform
10,001+
직원 수
Los Angeles
본사 위치
$220B
기업 가치
리뷰
3.8
10개 리뷰
워라밸
2.8
보상
3.7
문화
4.1
커리어
3.2
경영진
2.9
68%
친구에게 추천
장점
Great team dynamics and support
Innovative and creative culture
Good learning opportunities
단점
Work-life balance challenges
Fast-paced and stressful environment
High expectations and tight deadlines
연봉 정보
49개 데이터
Mid/L4
Senior/L5
Mid/L4 · Applied AI Product Data Scientist
1개 리포트
$273,000
총 연봉
기본급
$210,000
주식
-
보너스
-
$273,000
$273,000
면접 경험
2개 면접
난이도
4.0
/ 5
소요 기간
21-35주
경험
긍정 0%
보통 0%
부정 100%
면접 과정
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Behavioral Interview
5
Final Round
6
Offer
자주 나오는 질문
Coding/Algorithm
Behavioral/STAR
Technical Knowledge
Culture Fit
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