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

TikTok

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

TikTok

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

View Company Profile

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):

  1. 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.
  2. Computer fluency and understanding of software and advanced internet functions;
  3. Proficient skills in MS Office; G-Suite;

Preferred Qualification(s):

  1. Excellent problem-solving, task prioritization, follow-up, and quick learning skills.
  2. Ability to maintain a high degree of confidentiality while meeting strict deadlines.
  3. Undergraduate or postgraduate student currently pursuing a degree in computer science, model training or machine learning is a plus.
  4. 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

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총 지원 클릭 수

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모의 지원자 수

0

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TikTok 소개

TikTok

TikTok

Late Stage

A 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