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TikTok LIVE - Content Quality Analyst (German Speaking)

TikTok

TikTok LIVE - Content Quality Analyst (German Speaking)

TikTok

London, United Kingdom

·

On-site

·

Full-time

·

2mo ago

福利厚生

Equity

Healthcare

Unlimited Pto

必須スキル

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:

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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:

  1. Bachelor's degree in Business, Data Science, Computer Science, Information Technology, Communications, or a related field.
  2. Proficiency in both English and German is essential, as you will be required to review external German language content.
  3. Experienced in content quality management, product operations, or a related analytics role, preferably in tech, digital content, or platform moderation environments.
  4. Proficiency in data analysis and visualization tools such as Excel, Tableau, Power BI, or similar.
  5. Basic understanding of machine learning concepts and Large Language Models (LLMs).
  6. Strong ability to analyze complex datasets, identify patterns, and generate actionable insights.

Preferred Qualifications:

  1. Strong analytical skills with the ability to translate data into actionable insights, influence strategy, and drive impactful solutions.
  2. Solid understanding of machine learning principles, including model evaluation metrics and optimization techniques.
  3. 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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TikTokについて

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

従業員数

Los Angeles

本社所在地

$220B

企業価値

レビュー

3.8

10件のレビュー

ワークライフバランス

2.8

報酬

3.7

企業文化

4.1

キャリア

3.2

経営陣

2.9

68%

友人に勧める

良い点

Great team dynamics and support

Innovative and creative culture

Good learning opportunities

改善点

Work-life balance challenges

Fast-paced and stressful environment

High expectations and tight deadlines

給与レンジ

49件のデータ

Mid/L4

Senior/L5

Mid/L4 · Applied AI Product Data Scientist

1件のレポート

$273,000

年収総額

基本給

$210,000

ストック

-

ボーナス

-

$273,000

$273,000

面接体験

2件の面接

難易度

4.0

/ 5

期間

21-35週間

体験

ポジティブ 0%

普通 0%

ネガティブ 100%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Behavioral Interview

5

Final Round

6

Offer

よくある質問

Coding/Algorithm

Behavioral/STAR

Technical Knowledge

Culture Fit