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- Tasks: Join TikTok as a Content Quality Analyst, ensuring top-notch content moderation and training AI models.
- Company: TikTok is the leading platform for short-form mobile videos, inspiring creativity and joy worldwide.
- Benefits: Enjoy a dynamic work environment with opportunities for growth, creativity, and collaboration.
- Why this job: Be part of a vibrant team that values innovation and embraces challenges in a rapidly growing tech space.
- Qualifications: A degree in a relevant field and experience in content quality management or analytics are essential.
- Other info: This role offers a chance to influence content quality on a global scale while working with cutting-edge technology.
The predicted salary is between 36000 - 60000 ÂŁ per year.
TikTok LIVE – Global Content Quality Analyst
TikTok LIVE – Global Content Quality Analyst
1 week ago Be among the first 25 applicants
Responsibilities
About the Team
The livestream industry has seen tremendous growth in recent years and has become the next growth driver for TikTok 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. Experienced in content quality management, product operations, or a related analytics role, preferably in tech, digital content, or platform moderation environments.
3. Proficiency in data analysis and visualization tools such as Excel, Tableau, Power BI, or similar.
4. Basic understanding of machine learning concepts and Large Language Models (LLMs).
5. 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.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok\’s global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok\’s mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy – a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We\’re resilient and embrace challenges as they come. By constantly iterating and fostering an \”Always Day 1\” mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Seniority level
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Seniority level
Not Applicable
Employment type
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Employment type
Full-time
Job function
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Job function
Quality Assurance
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Industries
Entertainment Providers
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TikTok LIVE - Global Content Quality Analyst employer: TikTok
Contact Detail:
TikTok Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land TikTok LIVE - Global Content Quality Analyst
✨Tip Number 1
Familiarise yourself with TikTok's content moderation policies and guidelines. Understanding the nuances of what constitutes high-quality content will help you demonstrate your knowledge during interviews and discussions.
✨Tip Number 2
Brush up on your data analysis skills, especially with tools like Excel or Tableau. Being able to showcase your ability to analyse complex datasets and derive actionable insights will set you apart from other candidates.
✨Tip Number 3
Gain a basic understanding of machine learning concepts, particularly Large Language Models (LLMs). This knowledge will be crucial as the role involves training AI models and improving decision-making accuracy.
✨Tip Number 4
Network with professionals in the content quality management field, especially those with experience in tech or digital content. Engaging with industry experts can provide valuable insights and potentially lead to referrals.
We think you need these skills to ace TikTok LIVE - Global Content Quality Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in content quality management, data analysis, and any familiarity with machine learning concepts. Use keywords from the job description to align your skills with what TikTok is looking for.
Craft a Strong Cover Letter: In your cover letter, express your passion for the livestream industry and how your analytical skills can contribute to TikTok's mission. Mention specific experiences that demonstrate your ability to handle complex datasets and generate actionable insights.
Showcase Relevant Skills: Emphasise your proficiency in data analysis and visualisation tools like Excel or Tableau. If you have experience with LLMs or reinforcement learning, make sure to highlight this as it aligns closely with the role's requirements.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial for a role focused on content quality.
How to prepare for a job interview at TikTok
✨Show Your Analytical Skills
As a Content Quality Analyst, you'll need to demonstrate strong analytical thinking. Prepare examples of how you've previously analysed complex datasets and derived actionable insights. This will show your potential employer that you can handle the responsibilities of the role.
✨Familiarise Yourself with Machine Learning Concepts
Since the role involves working with machine learning models, it's crucial to have a basic understanding of these concepts. Brush up on terms like reinforcement learning and model evaluation metrics, and be ready to discuss how they relate to content quality management.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about past experiences where you resolved complex content issues or improved processes, and be ready to explain your thought process and the outcomes.
✨Highlight Your Collaborative Experience
This role requires collaboration across cross-functional teams. Be prepared to share examples of how you've successfully worked with others to achieve common goals, especially in a tech or digital content environment.
