TikTok AI Data, Linguistic Intelligence Graduate Program, London, 2025

TikTok
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineer (Data Science)

Data Engineer (Data Science)

Lead Engineer, MLOps (London)

About the team

& roleThe Linguistic Intelligence team is responsible for undertaking language-related data annotation projects to support infrastructure model development to empower international products, specialising in multilingual and multimodal development such as multi-language recognition, cross-language understanding, cross-modal translation and multimodal learning. As a Project Specialist in the Linguistic Intelligence team, you will be the project owner driving end to end project management (from requirement gathering to project closure) related to large-volume data annotation. You will be working closely with cross functional and global stakeholders to drive the success of data annotation services for all of the company's international products, which can also empower international products to optimize their features and create customer-centric experiences for their users. Responsibilities1. Responsible for the full life cycle management of key projects of the AI data service team2. Able to deliver the project on time with high quality and analyse project delivery and efficiency through quantitative and qualitative analysis.3. Proactively collaborate with cross-functional departments for project evaluation, resources coordination and subsequent works.4. Deeply understand the implementation of frontline labelling teams and work with the demand side to develop and optimise labelling guidelines and SOPs.5. Conduct quality management, progress management and risk management by data analysis.6. Continuously optimise the project process and improve the efficiency of project implementation through combining with business characteristics.

Minimum qualifications:1. Currently enrolled in a Bachelor's or Master's degree or above, graduating in 2025 and must be available to start in May 2025 in London.2. Proficiency ( both written and verbal) in Mandarin and full proficiency in English, and flexibility with work schedules and different time zones.3. Experience in Project Management (end to end) skills, ability to manage projects as well as excellent coordination, collaborative, and time management ability4. Good logical thinking and concise communications, particularly practiced in a cross-functional and global role, while results-oriented5. Strong entrepreneurial spirit, able to deal with rapid changes and navigate through ambiguity6. Familiar with office software such as Excel, Word, etc. Preferred qualifications :1. Relevant internship experience within the Social Media/ Internet/ Technology industry is preferred2. Relevant study or courses within the fields of machine learning and AI technology is preferred3. Experienced with project management tools, data processing tools, and other data analysis capabilities is preferred4. Linguistic background is a plus.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.