Jobs

TikTok LIVE - Content Quality Analyst (German Speaking)
London, United Kingdom
·
On-site
·
Full-time
·
1mo ago
Benefits & Perks
•Annual team offsites
•Top Tier compensation with equity
•Health, dental, and vision coverage
•Flexible PTO policy
Required Skills
TensorFlow
Python
Airflow
Tik Tok LIVE - Content Quality Analyst (German Speaking)
3+ months ago• London, United Kingdom
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:
About the Team:
The livestream industry has seen tremendous growth in recent years and has become the next growth driver for Tik Tok global business. It also brings great joy to users globally and it creates a new channel for our creators to show themselves.
We are seeking a Content Quality Analyst to join our team to lead quality initiatives in content moderation-leveraging both human labeling and machine learning models, including Large Language Models (LLMs). This role plays a critical part in upholding content quality across Tiktok Live platform. The ideal candidate will be deeply involved in training AI models, analyzing moderation data to extract actionable insights, resolving complex content scenarios, and working closely with partner teams to ensure effective issue resolution. Success in this role requires strong analytical thinking, high ownership, and the ability to collaborate across cross-functional teams. A keen eye for detail and a proactive mindset toward challenging existing processes and driving continuous improvement are essential.
Detailed responsibilities include:
- Ensure high-quality content benchmarking across BPO teams, support the setup, onboarding, and training of new BPO teams. Manage policy clarifications, calibrations, and arbitration processes. Analyze BPO team performance to identify knowledge gaps and systemic issues.
- Handle content labeling for specific queues based on cross-functional business requirements, analyze labeled content to identify trends and provide insights to project teams and independently manage quality evaluation initiatives, delivering actionable analytical insights.
- Train models using large datasets of labeled content to improve decision-making accuracy. Enhance model capabilities through iterative training and reinforcement learning, assist in data preparation, cleaning, and structuring for training purposes. Improve model accuracy by testing and fine-tuning, highlight the algorithm team with supporting examples for any potential gaps in LLM decision making draft, revise, and quality-check content to explore and enhance the synergy between human input and data in LLM training.
- Analyze moderation and labeling data from multiple queues to derive a process or market specific trend/correlation. Arrange supporting data points for impact analysis and solution planning.
- Custodian of all quality specific artifacts for the content moderation scope, generating creative solutions, including the use of technology and tools, to enhance the quality of both individual and team outputs.
Qualifications
Minimum Qualifications:
- Bachelor's degree in Business, Data Science, Computer Science, Information Technology, Communications, or a related field.
- Proficiency in both English and German is essential, as you will be required to review external German language content.
- Experienced in content quality management, product operations, or a related analytics role, preferably in tech, digital content, or platform moderation environments.
- Proficiency in data analysis and visualization tools such as Excel, Tableau, Power BI, or similar.
- Basic understanding of machine learning concepts and Large Language Models (LLMs).
- Strong ability to analyze complex datasets, identify patterns, and generate actionable insights.
Preferred Qualifications:
- Strong analytical skills with the ability to translate data into actionable insights, influence strategy, and drive impactful solutions.
- Solid understanding of machine learning principles, including model evaluation metrics and optimization techniques.
- Experience as RLHF (Reinforcement learning from human feedback) annotators for leading Al/LLM companies is strongly preferred.
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Client-provided location(s): London, United Kingdom
Job ID: Tik Tok-7161276362525821220
Employment Type: OTHER
Posted: 2025-07-16T00:28:47
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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)
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About TikTok

TikTok
Late StageA short-form video entertainment app and social network platform
10,001+
Employees
Los Angeles
Headquarters
$220B
Valuation
Reviews
3.1
3 reviews
Work Life Balance
1.5
Compensation
2.0
Culture
1.2
Career
1.8
Management
1.0
5%
Recommend to a Friend
Pros
Limited positive feedback available
Company size allows for potential opportunities
Technology platform experience
Cons
Mass layoffs and poor handling of terminations
Unprofessional management and HR behavior
Exposure to traumatic content without adequate support
Salary Ranges
52 data points
Mid/L4
Senior/L5
Mid/L4 · Applied AI Product Data Scientist
1 reports
$273,000
total / year
Base
$210,000
Stock
-
Bonus
-
$273,000
$273,000
Interview Experience
4 interviews
Difficulty
3.5
/ 5
Duration
21-35 weeks
Experience
Positive 0%
Neutral 25%
Negative 75%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Interviews
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Data Structures
News & Buzz
25-Year-Old TikTok Star Khaby Lame Sells His Media Company for Nearly $1B - observer.com
Source: observer.com
News
·
5w ago
TikTok users say they're being censored after new owners were announced. The company says it's a tech issue. - Reason Magazine
Source: Reason Magazine
News
·
5w ago
TikTok users can't upload anti-ICE videos. The company blames tech issues
HN
·
5w ago
·
1,490
·
1000
TikTok is investigating why some users can't write 'Epstein' in messages - NPR
Source: NPR
News
·
5w ago