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- Tasks: Annotate and label data to shape the future of AI technology.
- Company: Join a global team working on cutting-edge AI projects.
- Benefits: Flexible hours, work from anywhere, and gain valuable experience.
- Why this job: Make a real impact on AI systems used worldwide while working on your own schedule.
- Qualifications: Attention to detail and basic understanding of AI concepts preferred.
- Other info: Opportunity to collaborate with an international team and enhance your skills.
The predicted salary is between 11 - 15 £ per hour.
Help shape the future of AI! We’re seeking detail-oriented freelancers to join a global AI data annotation project. As an AI Data Annotation Specialist, you’ll annotate, label, and curate data that powers advanced machine learning models. Your work—tagging images, labeling text, or collecting documents—will directly impact the accuracy and performance of AI systems used worldwide.
Key Responsibilities
- Annotate & Label: Tag, categorize, and review text, images, and documents.
- Collect Data: Gather and organize high-quality datasets for AI training.
- Ensure Quality: Review and validate data for precision and consistency.
- Collaborate Globally: Work with an international team to hit project milestones.
Flexible Hours
Work up to 10 hours per day, 40 hours per week—on your schedule.
Qualification path
- Strong attention to detail and ability to follow precise instructions.
- Reliable internet connection and ability to work independently.
- Prior experience in data annotation or labeling is a plus but not required.
- Basic understanding of AI or machine learning concepts is advantageous.
- Strong proficiency in English for clear communication and reporting.
Assessment
- Complete an initial qualification assessment to demonstrate suitability for the role.
- Provide ID verification for participation.
AI Data Annotation Specialist – Global Freelance Role, Flexible Hours in London employer: TELUS Digital
Contact Detail:
TELUS Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Annotation Specialist – Global Freelance Role, Flexible Hours in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI and data annotation field on LinkedIn or other platforms. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing any relevant work you've done, even if it's just personal projects. This will help us see your attention to detail and passion for AI.
✨Tip Number 3
Stay flexible and open-minded! Since this role offers flexible hours, be ready to adapt your schedule. It shows you're committed and can manage your time effectively.
✨Tip Number 4
Apply through our website! We love seeing applications directly from our platform, so make sure to submit your details there. It helps us keep track of all the amazing talent out there!
We think you need these skills to ace AI Data Annotation Specialist – Global Freelance Role, Flexible Hours in London
Some tips for your application 🫡
Show Off Your Attention to Detail: When you're filling out your application, make sure to highlight your attention to detail. We want to see how you can follow precise instructions, so give examples of times you've done this in the past!
Flexibility is Key: Since this role offers flexible hours, let us know how you plan to manage your time. Share your availability and how you can fit this role into your schedule—this will show us you're ready to jump in!
Brush Up on AI Basics: While prior experience isn't a must, having a basic understanding of AI or machine learning concepts can really set you apart. If you've dabbled in these areas, mention it in your application to catch our eye!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s super easy, and you'll get all the info you need about the role right there. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at TELUS Digital
✨Know Your Stuff
Familiarise yourself with AI and machine learning concepts. Even if you don’t have prior experience, understanding the basics will help you answer questions confidently and show your enthusiasm for the field.
✨Attention to Detail is Key
Since the role requires strong attention to detail, prepare examples from your past experiences where you demonstrated this skill. Be ready to discuss how you ensure accuracy in your work, especially when annotating or labelling data.
✨Show Your Flexibility
Highlight your ability to work independently and manage your time effectively. Since the role offers flexible hours, share how you plan to organise your schedule to meet project milestones while maintaining quality.
✨Practice Clear Communication
As proficiency in English is crucial for this role, practice articulating your thoughts clearly. You might be asked to explain your annotation process or how you validate data, so being able to communicate effectively will set you apart.