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TikTok Product, Quality Assurance Analyst - Italian (12-Month Fixed-term Contract)
Dublin, Ireland
·
On-site
·
Full-time
·
2mo ago
복지 및 혜택
•Equity
•Healthcare
•Parental Leave
•Flexible Hours
필수 스킬
TypeScript
Python
React
Tik Tok Product, Quality Assurance Analyst
- Italian (12-Month Fixed-term Contract)
3+ months ago• Dublin, Ireland
Apply on company site
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:
In ADSO, we are the EMEA AI Data Service and Operations team under Tik Tok Product (abbreviation: ADSO), mainly providing safety and non-safety data annotation services and search operation services for all of the company's international products, which can also help international products build their own data ecological security.
The successful candidate must be capable of working with XFN teams to identify the needs of their project. Be comfortable navigating ambiguous situations, and be able to set clear SMART goals for themselves & our teams.
They must also be willing and able to take ownership of this role, identify & suggest process improvements, & help to develop a best practice methodology for the QA role.
What will I be doing:
- Working both independently, and in collaboration with stakeholders, to deliver high performance standards across all relevant projects, and develop a best practice model for maintaining high performance on those projects.
- Facilitate regular calibration meetings with stakeholders to maintain knowledge & quality standards, and provide feedback on implementation and execution.
- Work closely with the Policy POC to disseminate policy updates and knowledge to your teams, and facilitate efficient & timely communication of policy questions between all internal & external stakeholders.
- Perform daily audits and provide analysis of errors and feedback to respective teams.
- Compile & deliver regular performance data reports to SME & management teams as required.
- Conduct regular RCA escalations through the relevant process.
- Identify and assess areas for performance improvement across relevant markets, and be solution driven and proactive in delivering these solutions.
- Participate in or lead policy briefings to ensure any changes are consistent and in line with local cultural, socio, geographical and political conditions.
- Balance efficient delivery of tasks in each queue through relevant platforms such as TCS or Rock Appeal.
- Be able & willing to support or backfill temporary gaps in market support.
- Be able to support the internal onboarding team to further develop onboarding training SOP's & materials, as well as ongoing legacy planning.
- Perform regular queue moderation, or participate in knowledge quizzes when required, to maintain policy implementation skills.
- Design/help to design a training plan and implement it according to the timeline
- Please note that this position involves exposure to sensitive content, including but not limited to vulgar content, violence, pornography, and fake news.
Qualifications
-
Minimum Qualifications
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Minimum 1-year QA or relevant experience in trust and safety or policy in a major tech or media company.
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Demonstrate a broad understanding of our business needs, strategic thinking skills and ability to make good decisions in complex situations.
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Familiar with the business logic of labeling and working mode of the upstream and downstream teams.
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High proficiency in Italian is required as the role requires written and oral communication with Italian markets, fluency in English is also required as it is the working language.
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Comfortable reporting to, or collaborating with, a broad range of XFN partners.
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A fast learner who has the ability to embrace a fast-paced working environment.
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Preferred Qualifications
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Bachelor's degree and above or equivalent working experience in a short video product user industry.
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- Experience in Content Moderation/Content Quality/Content Safety/Labeling will be an added advantage.
- Familiarity with Microsoft Office Suite (PPT / Excel / Word).
- Familiarity with machine learning and content understanding.
- Solid presentation skills, dynamic environment and interpersonal skills.
Client-provided location(s): Dublin, Ireland
Job ID: Tik Tok-7528342143501732103
Employment Type: OTHER
Posted: 2025-07-19T00:27:49
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
Senior/L5
Senior/L5 · AI PRODUCT MANAGER
1개 리포트
$390,013
총 연봉
기본급
$300,010
주식
-
보너스
-
$390,013
$390,013
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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